Document (#38308)

Author

Arakawa, Y.
Kameda, A.
Aizawa, A.
Suzuki, T.

Title

Adding Twitter-specific features to stylistic features for classifying tweets by user type and number of retweets

Source

Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1416-1423

Year

2014

Abstract

Recently, Twitter has received much attention, both from the general public and researchers, as a new method of transmitting information. Among others, the number of retweets (RTs) and user types are the two important items of analysis for understanding the transmission of information on Twitter. To analyze this point, we applied text classification and feature extraction experiments using random forests machine learning with conventional stylistic and Twitter-specific features. We first collected tweets from 40 accounts with a high number of followers and created tweet texts from 28,756 tweets. We then conducted 15 types of classification experiments using a variety of combinations of features such as function words, speech terms, Twitter's descriptive grammar, and information roles. We deliberately observed the effects of features for classification performance. The results indicated that class classification per user indicated the best performance. Furthermore, we observed that certain features had a greater impact on classification. In the case of the experiments that assessed the level of RT quantity, information roles had an impact. In the case of user experiments, important features, such as the honorific postpositional particle and auxiliary verbs, such as "desu" and "masu," had an impact. This research clarifies the features that are useful for categorizing tweets according to the number of RTs and user types.

Object

Twitter

Location

Japan

Similar documents (author)

1. Suzuki, Y.: Partial information and its information structure (1995) 6.19

   6.190705 = sum of:
     6.190705 = weight(author_txt:suzuki in 6584) [ClassicSimilarity], result of:
       6.190705 = fieldWeight in 6584, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.905128 = idf(docFreq=5, maxDocs=44218)
         0.625 = fieldNorm(doc=6584)
   

2. Suzuki, T.: Extracting speaker-specific functional expressions from political speeches using random forests in order to investigate speakers' political styles (2009) 6.19

   6.190705 = sum of:
     6.190705 = weight(author_txt:suzuki in 2949) [ClassicSimilarity], result of:
       6.190705 = fieldWeight in 2949, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.905128 = idf(docFreq=5, maxDocs=44218)
         0.625 = fieldNorm(doc=2949)
   

3. Kawamura, S.; Otake, Y.-H.; Suzuki, T.: ¬The structure of the hyperlink network formed by the Web pages of Japanese public libraries (2009) 3.71

   3.7144227 = sum of:
     3.7144227 = weight(author_txt:suzuki in 2845) [ClassicSimilarity], result of:
       3.7144227 = fieldWeight in 2845, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.905128 = idf(docFreq=5, maxDocs=44218)
         0.375 = fieldNorm(doc=2845)
   

4. Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007) 3.10

   3.0953524 = sum of:
     3.0953524 = weight(author_txt:suzuki in 948) [ClassicSimilarity], result of:
       3.0953524 = fieldWeight in 948, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.905128 = idf(docFreq=5, maxDocs=44218)
         0.3125 = fieldNorm(doc=948)
   

Similar documents (content)

1. Luo, Z.; Yu, Y.; Osborne, M.; Wang, T.: Structuring tweets for improving Twitter search (2015) 0.40

   0.40234756 = sum of:
     0.40234756 = product of:
       1.2573361 = sum of:
         0.12947902 = weight(abstract_txt:tweet in 2335) [ClassicSimilarity], result of:
           0.12947902 = score(doc=2335,freq=3.0), product of:
             0.14040373 = queryWeight, product of:
               8.518833 = idf(docFreq=23, maxDocs=44218)
               0.016481569 = queryNorm
             0.9221907 = fieldWeight in 2335, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               8.518833 = idf(docFreq=23, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.019418307 = weight(abstract_txt:specific in 2335) [ClassicSimilarity], result of:
           0.019418307 = score(doc=2335,freq=1.0), product of:
             0.072017334 = queryWeight, product of:
               1.0128478 = boost
               4.314141 = idf(docFreq=1607, maxDocs=44218)
               0.016481569 = queryNorm
             0.2696338 = fieldWeight in 2335, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.314141 = idf(docFreq=1607, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.048019722 = weight(abstract_txt:performance in 2335) [ClassicSimilarity], result of:
           0.048019722 = score(doc=2335,freq=4.0), product of:
             0.08296391 = queryWeight, product of:
               1.0871019 = boost
               4.63042 = idf(docFreq=1171, maxDocs=44218)
               0.016481569 = queryNorm
             0.5788025 = fieldWeight in 2335, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               4.63042 = idf(docFreq=1171, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.011144883 = weight(abstract_txt:that in 2335) [ClassicSimilarity], result of:
           0.011144883 = score(doc=2335,freq=3.0), product of:
             0.043449294 = queryWeight, product of:
               1.112582 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.016481569 = queryNorm
             0.2565032 = fieldWeight in 2335, 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=2335)
         0.011887063 = weight(abstract_txt:information in 2335) [ClassicSimilarity], result of:
           0.011887063 = score(doc=2335,freq=3.0), product of:
             0.045357466 = queryWeight, product of:
               1.1367502 = boost
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.016481569 = queryNorm
             0.26207513 = fieldWeight in 2335, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.39222136 = weight(abstract_txt:twitter in 2335) [ClassicSimilarity], result of:
           0.39222136 = score(doc=2335,freq=6.0), product of:
             0.3703479 = queryWeight, product of:
               3.2482212 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.016481569 = queryNorm
             1.059062 = fieldWeight in 2335, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.51721954 = weight(abstract_txt:tweets in 2335) [ClassicSimilarity], result of:
           0.51721954 = score(doc=2335,freq=6.0), product of:
             0.44535428 = queryWeight, product of:
               3.5619965 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.016481569 = queryNorm
             1.1613665 = fieldWeight in 2335, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
         0.12794624 = weight(abstract_txt:features in 2335) [ClassicSimilarity], result of:
           0.12794624 = score(doc=2335,freq=2.0), product of:
             0.31890243 = queryWeight, product of:
               4.262698 = boost
               4.5391517 = idf(docFreq=1283, maxDocs=44218)
               0.016481569 = queryNorm
             0.4012081 = fieldWeight in 2335, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.5391517 = idf(docFreq=1283, maxDocs=44218)
               0.0625 = fieldNorm(doc=2335)
       0.32 = coord(8/25)
   

2. Leginus, M.; Zhai, C.X.; Dolog, P.: Personalized generation of word clouds from tweets (2016) 0.38

   0.38345316 = sum of:
     0.38345316 = product of:
       1.3694756 = sum of:
         0.008578749 = weight(abstract_txt:information in 2886) [ClassicSimilarity], result of:
           0.008578749 = score(doc=2886,freq=1.0), product of:
             0.045357466 = queryWeight, product of:
               1.1367502 = boost
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.016481569 = queryNorm
             0.18913643 = fieldWeight in 2886, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.01822794 = weight(abstract_txt:such in 2886) [ClassicSimilarity], result of:
           0.01822794 = score(doc=2886,freq=1.0), product of:
             0.06811011 = queryWeight, product of:
               1.2063605 = boost
               3.4255946 = idf(docFreq=3909, maxDocs=44218)
               0.016481569 = queryNorm
             0.2676246 = fieldWeight in 2886, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.4255946 = idf(docFreq=3909, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.04267308 = weight(abstract_txt:number in 2886) [ClassicSimilarity], result of:
           0.04267308 = score(doc=2886,freq=1.0), product of:
             0.13217078 = queryWeight, product of:
               1.9404765 = boost
               4.132649 = idf(docFreq=1927, maxDocs=44218)
               0.016481569 = queryNorm
             0.3228632 = fieldWeight in 2886, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.132649 = idf(docFreq=1927, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.075545065 = weight(abstract_txt:user in 2886) [ClassicSimilarity], result of:
           0.075545065 = score(doc=2886,freq=4.0), product of:
             0.13125631 = queryWeight, product of:
               2.1620004 = boost
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.016481569 = queryNorm
             0.5755538 = fieldWeight in 2886, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.4341029 = weight(abstract_txt:retweets in 2886) [ClassicSimilarity], result of:
           0.4341029 = score(doc=2886,freq=3.0), product of:
             0.3414896 = queryWeight, product of:
               2.2055373 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.016481569 = queryNorm
             1.2712038 = fieldWeight in 2886, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.20015462 = weight(abstract_txt:twitter in 2886) [ClassicSimilarity], result of:
           0.20015462 = score(doc=2886,freq=1.0), product of:
             0.3703479 = queryWeight, product of:
               3.2482212 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.016481569 = queryNorm
             0.5404503 = fieldWeight in 2886, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
         0.5901933 = weight(abstract_txt:tweets in 2886) [ClassicSimilarity], result of:
           0.5901933 = score(doc=2886,freq=5.0), product of:
             0.44535428 = queryWeight, product of:
               3.5619965 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.016481569 = queryNorm
             1.325222 = fieldWeight in 2886, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.078125 = fieldNorm(doc=2886)
       0.28 = coord(7/25)
   

3. Ortega, J.L.: ¬The presence of academic journals on Twitter and its relationship with dissemination (tweets) and research impact (citations) (2017) 0.37

   0.3673904 = sum of:
     0.3673904 = product of:
       1.148095 = sum of:
         0.08782315 = weight(abstract_txt:followers in 4410) [ClassicSimilarity], result of:
           0.08782315 = score(doc=4410,freq=1.0), product of:
             0.15632394 = queryWeight, product of:
               1.0551723 = boost
               8.988837 = idf(docFreq=14, maxDocs=44218)
               0.016481569 = queryNorm
             0.5618023 = fieldWeight in 4410, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.988837 = idf(docFreq=14, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.024009861 = weight(abstract_txt:performance in 4410) [ClassicSimilarity], result of:
           0.024009861 = score(doc=4410,freq=1.0), product of:
             0.08296391 = queryWeight, product of:
               1.0871019 = boost
               4.63042 = idf(docFreq=1171, maxDocs=44218)
               0.016481569 = queryNorm
             0.28940126 = fieldWeight in 4410, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.63042 = idf(docFreq=1171, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.011144883 = weight(abstract_txt:that in 4410) [ClassicSimilarity], result of:
           0.011144883 = score(doc=4410,freq=3.0), product of:
             0.043449294 = queryWeight, product of:
               1.112582 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.016481569 = queryNorm
             0.2565032 = fieldWeight in 4410, 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=4410)
         0.032367162 = weight(abstract_txt:types in 4410) [ClassicSimilarity], result of:
           0.032367162 = score(doc=4410,freq=1.0), product of:
             0.11589453 = queryWeight, product of:
               1.5736306 = boost
               4.4684987 = idf(docFreq=1377, maxDocs=44218)
               0.016481569 = queryNorm
             0.27928117 = fieldWeight in 4410, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.4684987 = idf(docFreq=1377, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.035030015 = weight(abstract_txt:impact in 4410) [ClassicSimilarity], result of:
           0.035030015 = score(doc=4410,freq=1.0), product of:
             0.122166865 = queryWeight, product of:
               1.6156527 = boost
               4.5878253 = idf(docFreq=1222, maxDocs=44218)
               0.016481569 = queryNorm
             0.28673908 = fieldWeight in 4410, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.5878253 = idf(docFreq=1222, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.04827908 = weight(abstract_txt:number in 4410) [ClassicSimilarity], result of:
           0.04827908 = score(doc=4410,freq=2.0), product of:
             0.13217078 = queryWeight, product of:
               1.9404765 = boost
               4.132649 = idf(docFreq=1927, maxDocs=44218)
               0.016481569 = queryNorm
             0.365278 = fieldWeight in 4410, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.132649 = idf(docFreq=1927, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.39222136 = weight(abstract_txt:twitter in 4410) [ClassicSimilarity], result of:
           0.39222136 = score(doc=4410,freq=6.0), product of:
             0.3703479 = queryWeight, product of:
               3.2482212 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.016481569 = queryNorm
             1.059062 = fieldWeight in 4410, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
         0.51721954 = weight(abstract_txt:tweets in 4410) [ClassicSimilarity], result of:
           0.51721954 = score(doc=4410,freq=6.0), product of:
             0.44535428 = queryWeight, product of:
               3.5619965 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.016481569 = queryNorm
             1.1613665 = fieldWeight in 4410, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=4410)
       0.32 = coord(8/25)
   

4. Zheng, H.; Goh, D.H.-L.; Lee, E.W.J.; Lee, C.S.; Theng, Y.-L.: Understanding the effects of message cues on COVID-19 information sharing on Twitter (2022) 0.35

   0.34856093 = sum of:
     0.34856093 = product of:
       0.96822476 = sum of:
         0.006434501 = weight(abstract_txt:that in 564) [ClassicSimilarity], result of:
           0.006434501 = score(doc=564,freq=1.0), product of:
             0.043449294 = queryWeight, product of:
               1.112582 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.016481569 = queryNorm
             0.1480922 = fieldWeight in 564, 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=564)
         0.016810847 = weight(abstract_txt:information in 564) [ClassicSimilarity], result of:
           0.016810847 = score(doc=564,freq=6.0), product of:
             0.045357466 = queryWeight, product of:
               1.1367502 = boost
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.016481569 = queryNorm
             0.3706302 = fieldWeight in 564, product of:
               2.4494898 = tf(freq=6.0), with freq of:
                 6.0 = termFreq=6.0
               2.4209464 = idf(docFreq=10677, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.014582351 = weight(abstract_txt:such in 564) [ClassicSimilarity], result of:
           0.014582351 = score(doc=564,freq=1.0), product of:
             0.06811011 = queryWeight, product of:
               1.2063605 = boost
               3.4255946 = idf(docFreq=3909, maxDocs=44218)
               0.016481569 = queryNorm
             0.21409966 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.4255946 = idf(docFreq=3909, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.032367162 = weight(abstract_txt:types in 564) [ClassicSimilarity], result of:
           0.032367162 = score(doc=564,freq=1.0), product of:
             0.11589453 = queryWeight, product of:
               1.5736306 = boost
               4.4684987 = idf(docFreq=1377, maxDocs=44218)
               0.016481569 = queryNorm
             0.27928117 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.4684987 = idf(docFreq=1377, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.035030015 = weight(abstract_txt:impact in 564) [ClassicSimilarity], result of:
           0.035030015 = score(doc=564,freq=1.0), product of:
             0.122166865 = queryWeight, product of:
               1.6156527 = boost
               4.5878253 = idf(docFreq=1222, maxDocs=44218)
               0.016481569 = queryNorm
             0.28673908 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.5878253 = idf(docFreq=1222, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.030218026 = weight(abstract_txt:user in 564) [ClassicSimilarity], result of:
           0.030218026 = score(doc=564,freq=1.0), product of:
             0.13125631 = queryWeight, product of:
               2.1620004 = boost
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.016481569 = queryNorm
             0.23022151 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.20050354 = weight(abstract_txt:retweets in 564) [ClassicSimilarity], result of:
           0.20050354 = score(doc=564,freq=1.0), product of:
             0.3414896 = queryWeight, product of:
               2.2055373 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.016481569 = queryNorm
             0.5871439 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.1601237 = weight(abstract_txt:twitter in 564) [ClassicSimilarity], result of:
           0.1601237 = score(doc=564,freq=1.0), product of:
             0.3703479 = queryWeight, product of:
               3.2482212 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.016481569 = queryNorm
             0.43236023 = fieldWeight in 564, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
         0.47215462 = weight(abstract_txt:tweets in 564) [ClassicSimilarity], result of:
           0.47215462 = score(doc=564,freq=5.0), product of:
             0.44535428 = queryWeight, product of:
               3.5619965 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.016481569 = queryNorm
             1.0601776 = fieldWeight in 564, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=564)
       0.36 = coord(9/25)
   

5. Fang, Z.; Dudek, J.; Costas, R.: ¬The stability of Twitter metrics : a study on unavailable Twitter mentions of scientific publications (2020) 0.33

   0.32778603 = sum of:
     0.32778603 = product of:
       1.1706644 = sum of:
         0.074754745 = weight(abstract_txt:tweet in 35) [ClassicSimilarity], result of:
           0.074754745 = score(doc=35,freq=1.0), product of:
             0.14040373 = queryWeight, product of:
               8.518833 = idf(docFreq=23, maxDocs=44218)
               0.016481569 = queryNorm
             0.5324271 = fieldWeight in 35, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.518833 = idf(docFreq=23, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
         0.006434501 = weight(abstract_txt:that in 35) [ClassicSimilarity], result of:
           0.006434501 = score(doc=35,freq=1.0), product of:
             0.043449294 = queryWeight, product of:
               1.112582 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.016481569 = queryNorm
             0.1480922 = fieldWeight in 35, 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=35)
         0.053781245 = weight(abstract_txt:observed in 35) [ClassicSimilarity], result of:
           0.053781245 = score(doc=35,freq=1.0), product of:
             0.14203107 = queryWeight, product of:
               1.4223856 = boost
               6.0585327 = idf(docFreq=280, maxDocs=44218)
               0.016481569 = queryNorm
             0.3786583 = fieldWeight in 35, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.0585327 = idf(docFreq=280, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
         0.030218026 = weight(abstract_txt:user in 35) [ClassicSimilarity], result of:
           0.030218026 = score(doc=35,freq=1.0), product of:
             0.13125631 = queryWeight, product of:
               2.1620004 = boost
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.016481569 = queryNorm
             0.23022151 = fieldWeight in 35, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6835442 = idf(docFreq=3020, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
         0.20050354 = weight(abstract_txt:retweets in 35) [ClassicSimilarity], result of:
           0.20050354 = score(doc=35,freq=1.0), product of:
             0.3414896 = queryWeight, product of:
               2.2055373 = boost
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.016481569 = queryNorm
             0.5871439 = fieldWeight in 35, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.394302 = idf(docFreq=9, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
         0.50635564 = weight(abstract_txt:twitter in 35) [ClassicSimilarity], result of:
           0.50635564 = score(doc=35,freq=10.0), product of:
             0.3703479 = queryWeight, product of:
               3.2482212 = boost
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.016481569 = queryNorm
             1.3672432 = fieldWeight in 35, product of:
               3.1622777 = tf(freq=10.0), with freq of:
                 10.0 = termFreq=10.0
               6.9177637 = idf(docFreq=118, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
         0.2986168 = weight(abstract_txt:tweets in 35) [ClassicSimilarity], result of:
           0.2986168 = score(doc=35,freq=2.0), product of:
             0.44535428 = queryWeight, product of:
               3.5619965 = boost
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.016481569 = queryNorm
             0.6705152 = fieldWeight in 35, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               7.5860133 = idf(docFreq=60, maxDocs=44218)
               0.0625 = fieldNorm(doc=35)
       0.28 = coord(7/25)