Document (#37521)

Author

Bae, Y.
Lee, H.

Title

Sentiment analysis of twitter audiences : measuring the positive or negative influence of popular twitterers

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2521-2535

Year

2012

Abstract

Twitter is a popular microblogging service that is used to read and write millions of short messages on any topic within a 140-character limit. Popular or influential users tweet their status and are retweeted, mentioned, or replied to by their audience. Sentiment analysis of the tweets by popular users and their audience reveals whether the audience is favorable to popular users. We analyzed over 3,000,000 tweets mentioning or replying to the 13 most influential users to determine audience sentiment. Twitter messages reflect the landscape of sentiment toward its most popular users. We used the sentiment analysis technique as a valid popularity indicator or measure. First, we distinguished between the positive and negative audiences of popular users. Second, we found that the sentiments expressed in the tweets by popular users influenced the sentiment of their audience. Third, from the above two findings we developed a positive-negative measure for this influence. Finally, using a Granger causality analysis, we found that the time-series-based positive-negative sentiment change of the audience was related to the real-world sentiment landscape of popular users. We believe that the positive-negative influence measure between popular users and their audience provides new insights into the influence of a user and is related to the real world.

Theme

Internet

Object

Twitter

Similar documents (content)

1. Saif, H.; He, Y.; Fernandez, M.; Alani, H.: Contextual semantics for sentiment analysis of Twitter (2016) 0.50

   0.49593154 = sum of:
     0.49593154 = product of:
       1.2398288 = sum of:
         0.052580252 = weight(abstract_txt:sentiments in 2667) [ClassicSimilarity], result of:
           0.052580252 = score(doc=2667,freq=1.0), product of:
             0.09491369 = queryWeight, product of:
               1.0064905 = boost
               8.863674 = idf(docFreq=16, maxDocs=44218)
               0.010639112 = queryNorm
             0.55397964 = fieldWeight in 2667, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.863674 = idf(docFreq=16, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.0040178876 = weight(abstract_txt:that in 2667) [ClassicSimilarity], result of:
           0.0040178876 = score(doc=2667,freq=1.0), product of:
             0.027130987 = queryWeight, product of:
               1.0762373 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.010639112 = queryNorm
             0.1480922 = fieldWeight in 2667, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.0208305 = weight(abstract_txt:analysis in 2667) [ClassicSimilarity], result of:
           0.0208305 = score(doc=2667,freq=2.0), product of:
             0.064504534 = queryWeight, product of:
               1.6594737 = boost
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.010639112 = queryNorm
             0.3229308 = fieldWeight in 2667, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.020623708 = weight(abstract_txt:their in 2667) [ClassicSimilarity], result of:
           0.020623708 = score(doc=2667,freq=3.0), product of:
             0.06029868 = queryWeight, product of:
               1.7938418 = boost
               3.1594994 = idf(docFreq=5101, maxDocs=44218)
               0.010639112 = queryNorm
             0.34202585 = fieldWeight in 2667, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               3.1594994 = idf(docFreq=5101, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.05149545 = weight(abstract_txt:measure in 2667) [ClassicSimilarity], result of:
           0.05149545 = score(doc=2667,freq=2.0), product of:
             0.10714948 = queryWeight, product of:
               1.8522556 = boost
               5.437306 = idf(docFreq=522, maxDocs=44218)
               0.010639112 = queryNorm
             0.4805945 = fieldWeight in 2667, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.437306 = idf(docFreq=522, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.12988542 = weight(abstract_txt:twitter in 2667) [ClassicSimilarity], result of:
           0.12988542 = score(doc=2667,freq=3.0), product of:
             0.1734419 = queryWeight, product of:
               2.3565838 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.010639112 = queryNorm
             0.7488699 = fieldWeight in 2667, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.09888794 = weight(abstract_txt:tweets in 2667) [ClassicSimilarity], result of:
           0.09888794 = score(doc=2667,freq=1.0), product of:
             0.20856898 = queryWeight, product of:
               2.5842273 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.010639112 = queryNorm
             0.47412583 = fieldWeight in 2667, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.07793123 = weight(abstract_txt:positive in 2667) [ClassicSimilarity], result of:
           0.07793123 = score(doc=2667,freq=1.0), product of:
             0.2109817 = queryWeight, product of:
               3.3554645 = boost
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.010639112 = queryNorm
             0.36937436 = fieldWeight in 2667, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.09475197 = weight(abstract_txt:negative in 2667) [ClassicSimilarity], result of:
           0.09475197 = score(doc=2667,freq=1.0), product of:
             0.24034177 = queryWeight, product of:
               3.5813344 = boost
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.010639112 = queryNorm
             0.39423847 = fieldWeight in 2667, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
         0.6888244 = weight(abstract_txt:sentiment in 2667) [ClassicSimilarity], result of:
           0.6888244 = score(doc=2667,freq=7.0), product of:
             0.5514635 = queryWeight, product of:
               6.861967 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.010639112 = queryNorm
             1.2490844 = fieldWeight in 2667, product of:
               2.6457512 = tf(freq=7.0), with freq of:
                 7.0 = termFreq=7.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=2667)
       0.4 = coord(10/25)
   

2. Chung, W.; Zeng, D.: Social-media-based public policy informatics : sentiment and network analyses of U.S. immigration and border security (2016) 0.44

   0.44128805 = sum of:
     0.44128805 = product of:
       1.1032201 = sum of:
         0.0135532655 = weight(abstract_txt:found in 3969) [ClassicSimilarity], result of:
           0.0135532655 = score(doc=3969,freq=1.0), product of:
             0.048434302 = queryWeight, product of:
               1.0168029 = boost
               4.4772453 = idf(docFreq=1365, maxDocs=44218)
               0.010639112 = queryNorm
             0.27982783 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.4772453 = idf(docFreq=1365, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.0040178876 = weight(abstract_txt:that in 3969) [ClassicSimilarity], result of:
           0.0040178876 = score(doc=3969,freq=1.0), product of:
             0.027130987 = queryWeight, product of:
               1.0762373 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.010639112 = queryNorm
             0.1480922 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.049811713 = weight(abstract_txt:messages in 3969) [ClassicSimilarity], result of:
           0.049811713 = score(doc=3969,freq=1.0), product of:
             0.115348354 = queryWeight, product of:
               1.5691553 = boost
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.010639112 = queryNorm
             0.43183723 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.057369884 = weight(abstract_txt:influential in 3969) [ClassicSimilarity], result of:
           0.057369884 = score(doc=3969,freq=1.0), product of:
             0.12673981 = queryWeight, product of:
               1.6448139 = boost
               7.24254 = idf(docFreq=85, maxDocs=44218)
               0.010639112 = queryNorm
             0.45265874 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.24254 = idf(docFreq=85, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.014729389 = weight(abstract_txt:analysis in 3969) [ClassicSimilarity], result of:
           0.014729389 = score(doc=3969,freq=1.0), product of:
             0.064504534 = queryWeight, product of:
               1.6594737 = boost
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.010639112 = queryNorm
             0.22834657 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.12988542 = weight(abstract_txt:twitter in 3969) [ClassicSimilarity], result of:
           0.12988542 = score(doc=3969,freq=3.0), product of:
             0.1734419 = queryWeight, product of:
               2.3565838 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.010639112 = queryNorm
             0.7488699 = fieldWeight in 3969, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.043693345 = weight(abstract_txt:influence in 3969) [ClassicSimilarity], result of:
           0.043693345 = score(doc=3969,freq=1.0), product of:
             0.13317129 = queryWeight, product of:
               2.3844078 = boost
               5.2495813 = idf(docFreq=630, maxDocs=44218)
               0.010639112 = queryNorm
             0.32809883 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.2495813 = idf(docFreq=630, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.09888794 = weight(abstract_txt:tweets in 3969) [ClassicSimilarity], result of:
           0.09888794 = score(doc=3969,freq=1.0), product of:
             0.20856898 = queryWeight, product of:
               2.5842273 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.010639112 = queryNorm
             0.47412583 = fieldWeight in 3969, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.053543665 = weight(abstract_txt:users in 3969) [ClassicSimilarity], result of:
           0.053543665 = score(doc=3969,freq=3.0), product of:
             0.13855629 = queryWeight, product of:
               3.6482081 = boost
               3.569778 = idf(docFreq=3384, maxDocs=44218)
               0.010639112 = queryNorm
             0.3864398 = fieldWeight in 3969, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               3.569778 = idf(docFreq=3384, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
         0.63772756 = weight(abstract_txt:sentiment in 3969) [ClassicSimilarity], result of:
           0.63772756 = score(doc=3969,freq=6.0), product of:
             0.5514635 = queryWeight, product of:
               6.861967 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.010639112 = queryNorm
             1.1564275 = fieldWeight in 3969, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=3969)
       0.4 = coord(10/25)
   

3. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.41

   0.40532315 = sum of:
     0.40532315 = product of:
       1.2666348 = sum of:
         0.006959185 = weight(abstract_txt:that in 4345) [ClassicSimilarity], result of:
           0.006959185 = score(doc=4345,freq=3.0), product of:
             0.027130987 = queryWeight, product of:
               1.0762373 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.010639112 = queryNorm
             0.2565032 = fieldWeight in 4345, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.014729389 = weight(abstract_txt:analysis in 4345) [ClassicSimilarity], result of:
           0.014729389 = score(doc=4345,freq=1.0), product of:
             0.064504534 = queryWeight, product of:
               1.6594737 = boost
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.010639112 = queryNorm
             0.22834657 = fieldWeight in 4345, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.036412783 = weight(abstract_txt:measure in 4345) [ClassicSimilarity], result of:
           0.036412783 = score(doc=4345,freq=1.0), product of:
             0.10714948 = queryWeight, product of:
               1.8522556 = boost
               5.437306 = idf(docFreq=522, maxDocs=44218)
               0.010639112 = queryNorm
             0.33983162 = fieldWeight in 4345, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.437306 = idf(docFreq=522, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.12988542 = weight(abstract_txt:twitter in 4345) [ClassicSimilarity], result of:
           0.12988542 = score(doc=4345,freq=3.0), product of:
             0.1734419 = queryWeight, product of:
               2.3565838 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.010639112 = queryNorm
             0.7488699 = fieldWeight in 4345, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.110211395 = weight(abstract_txt:positive in 4345) [ClassicSimilarity], result of:
           0.110211395 = score(doc=4345,freq=2.0), product of:
             0.2109817 = queryWeight, product of:
               3.3554645 = boost
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.010639112 = queryNorm
             0.5223742 = fieldWeight in 4345, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.13399951 = weight(abstract_txt:negative in 4345) [ClassicSimilarity], result of:
           0.13399951 = score(doc=4345,freq=2.0), product of:
             0.24034177 = queryWeight, product of:
               3.5813344 = boost
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.010639112 = queryNorm
             0.5575374 = fieldWeight in 4345, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.25227427 = weight(abstract_txt:popular in 4345) [ClassicSimilarity], result of:
           0.25227427 = score(doc=4345,freq=3.0), product of:
             0.40332517 = queryWeight, product of:
               6.5610433 = boost
               5.777993 = idf(docFreq=371, maxDocs=44218)
               0.010639112 = queryNorm
             0.6254861 = fieldWeight in 4345, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               5.777993 = idf(docFreq=371, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
         0.58216286 = weight(abstract_txt:sentiment in 4345) [ClassicSimilarity], result of:
           0.58216286 = score(doc=4345,freq=5.0), product of:
             0.5514635 = queryWeight, product of:
               6.861967 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.010639112 = queryNorm
             1.055669 = fieldWeight in 4345, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=4345)
       0.32 = coord(8/25)
   

4. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.31

   0.31142473 = sum of:
     0.31142473 = product of:
       0.77856183 = sum of:
         0.051569585 = weight(abstract_txt:mentioning in 178) [ClassicSimilarity], result of:
           0.051569585 = score(doc=178,freq=1.0), product of:
             0.09369351 = queryWeight, product of:
               8.806516 = idf(docFreq=17, maxDocs=44218)
               0.010639112 = queryNorm
             0.55040723 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.806516 = idf(docFreq=17, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.0040178876 = weight(abstract_txt:that in 178) [ClassicSimilarity], result of:
           0.0040178876 = score(doc=178,freq=1.0), product of:
             0.027130987 = queryWeight, product of:
               1.0762373 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.010639112 = queryNorm
             0.1480922 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.07337727 = weight(abstract_txt:retweeted in 178) [ClassicSimilarity], result of:
           0.07337727 = score(doc=178,freq=1.0), product of:
             0.11852813 = queryWeight, product of:
               1.1247499 = boost
               9.905128 = idf(docFreq=5, maxDocs=44218)
               0.010639112 = queryNorm
             0.6190705 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.905128 = idf(docFreq=5, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.070444405 = weight(abstract_txt:messages in 178) [ClassicSimilarity], result of:
           0.070444405 = score(doc=178,freq=2.0), product of:
             0.115348354 = queryWeight, product of:
               1.5691553 = boost
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.010639112 = queryNorm
             0.6107101 = fieldWeight in 178, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.0208305 = weight(abstract_txt:analysis in 178) [ClassicSimilarity], result of:
           0.0208305 = score(doc=178,freq=2.0), product of:
             0.064504534 = queryWeight, product of:
               1.6594737 = boost
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.010639112 = queryNorm
             0.3229308 = fieldWeight in 178, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.106051005 = weight(abstract_txt:twitter in 178) [ClassicSimilarity], result of:
           0.106051005 = score(doc=178,freq=2.0), product of:
             0.1734419 = queryWeight, product of:
               2.3565838 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.010639112 = queryNorm
             0.6114497 = fieldWeight in 178, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.19777589 = weight(abstract_txt:tweets in 178) [ClassicSimilarity], result of:
           0.19777589 = score(doc=178,freq=4.0), product of:
             0.20856898 = queryWeight, product of:
               2.5842273 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.010639112 = queryNorm
             0.94825166 = fieldWeight in 178, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.07793123 = weight(abstract_txt:positive in 178) [ClassicSimilarity], result of:
           0.07793123 = score(doc=178,freq=1.0), product of:
             0.2109817 = queryWeight, product of:
               3.3554645 = boost
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.010639112 = queryNorm
             0.36937436 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.030913448 = weight(abstract_txt:users in 178) [ClassicSimilarity], result of:
           0.030913448 = score(doc=178,freq=1.0), product of:
             0.13855629 = queryWeight, product of:
               3.6482081 = boost
               3.569778 = idf(docFreq=3384, maxDocs=44218)
               0.010639112 = queryNorm
             0.22311112 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.569778 = idf(docFreq=3384, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
         0.14565063 = weight(abstract_txt:popular in 178) [ClassicSimilarity], result of:
           0.14565063 = score(doc=178,freq=1.0), product of:
             0.40332517 = queryWeight, product of:
               6.5610433 = boost
               5.777993 = idf(docFreq=371, maxDocs=44218)
               0.010639112 = queryNorm
             0.36112458 = fieldWeight in 178, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.777993 = idf(docFreq=371, maxDocs=44218)
               0.0625 = fieldNorm(doc=178)
       0.4 = coord(10/25)
   

5. Muresan, S.; Gonzalez-Ibanez, R.; Ghosh, D.; Wacholder, N.: Identification of nonliteral language in social media : a case study on sarcasm (2016) 0.30

   0.29962963 = sum of:
     0.29962963 = product of:
       0.8323045 = sum of:
         0.052580252 = weight(abstract_txt:sentiments in 3155) [ClassicSimilarity], result of:
           0.052580252 = score(doc=3155,freq=1.0), product of:
             0.09491369 = queryWeight, product of:
               1.0064905 = boost
               8.863674 = idf(docFreq=16, maxDocs=44218)
               0.010639112 = queryNorm
             0.55397964 = fieldWeight in 3155, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.863674 = idf(docFreq=16, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.005682151 = weight(abstract_txt:that in 3155) [ClassicSimilarity], result of:
           0.005682151 = score(doc=3155,freq=2.0), product of:
             0.027130987 = queryWeight, product of:
               1.0762373 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.010639112 = queryNorm
             0.20943399 = fieldWeight in 3155, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.049811713 = weight(abstract_txt:messages in 3155) [ClassicSimilarity], result of:
           0.049811713 = score(doc=3155,freq=1.0), product of:
             0.115348354 = queryWeight, product of:
               1.5691553 = boost
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.010639112 = queryNorm
             0.43183723 = fieldWeight in 3155, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.9093957 = idf(docFreq=119, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.014729389 = weight(abstract_txt:analysis in 3155) [ClassicSimilarity], result of:
           0.014729389 = score(doc=3155,freq=1.0), product of:
             0.064504534 = queryWeight, product of:
               1.6594737 = boost
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.010639112 = queryNorm
             0.22834657 = fieldWeight in 3155, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6535451 = idf(docFreq=3112, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.106051005 = weight(abstract_txt:twitter in 3155) [ClassicSimilarity], result of:
           0.106051005 = score(doc=3155,freq=2.0), product of:
             0.1734419 = queryWeight, product of:
               2.3565838 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.010639112 = queryNorm
             0.6114497 = fieldWeight in 3155, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.09888794 = weight(abstract_txt:tweets in 3155) [ClassicSimilarity], result of:
           0.09888794 = score(doc=3155,freq=1.0), product of:
             0.20856898 = queryWeight, product of:
               2.5842273 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.010639112 = queryNorm
             0.47412583 = fieldWeight in 3155, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.110211395 = weight(abstract_txt:positive in 3155) [ClassicSimilarity], result of:
           0.110211395 = score(doc=3155,freq=2.0), product of:
             0.2109817 = queryWeight, product of:
               3.3554645 = boost
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.010639112 = queryNorm
             0.5223742 = fieldWeight in 3155, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.90999 = idf(docFreq=325, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.13399951 = weight(abstract_txt:negative in 3155) [ClassicSimilarity], result of:
           0.13399951 = score(doc=3155,freq=2.0), product of:
             0.24034177 = queryWeight, product of:
               3.5813344 = boost
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.010639112 = queryNorm
             0.5575374 = fieldWeight in 3155, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.3078156 = idf(docFreq=218, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
         0.26035115 = weight(abstract_txt:sentiment in 3155) [ClassicSimilarity], result of:
           0.26035115 = score(doc=3155,freq=1.0), product of:
             0.5514635 = queryWeight, product of:
               6.861967 = boost
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.010639112 = queryNorm
             0.47210953 = fieldWeight in 3155, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5537524 = idf(docFreq=62, maxDocs=44218)
               0.0625 = fieldNorm(doc=3155)
       0.36 = coord(9/25)