-
Belbachir, F.; Boughanem, M.: Using language models to improve opinion detection (2018)
0.42
0.41577744 = sum of:
0.41577744 = product of:
1.1549373 = sum of:
0.0057407487 = weight(abstract_txt:paper in 5044) [ClassicSimilarity], result of:
0.0057407487 = score(doc=5044,freq=1.0), product of:
0.030274678 = queryWeight, product of:
1.0000056 = boost
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.008731245 = queryNorm
0.18962212 = fieldWeight in 5044, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.0041044354 = weight(abstract_txt:this in 5044) [ClassicSimilarity], result of:
0.0041044354 = score(doc=5044,freq=2.0), product of:
0.021993274 = queryWeight, product of:
1.0438864 = boost
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.008731245 = queryNorm
0.1866223 = fieldWeight in 5044, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.009497824 = weight(abstract_txt:analysis in 5044) [ClassicSimilarity], result of:
0.009497824 = score(doc=5044,freq=2.0), product of:
0.033612948 = queryWeight, product of:
1.0536975 = boost
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.008731245 = queryNorm
0.28256446 = fieldWeight in 5044, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.013564258 = weight(abstract_txt:different in 5044) [ClassicSimilarity], result of:
0.013564258 = score(doc=5044,freq=4.0), product of:
0.033833314 = queryWeight, product of:
1.0571458 = boost
3.6655018 = idf(docFreq=3075, maxDocs=44218)
0.008731245 = queryNorm
0.40091425 = fieldWeight in 5044, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.6655018 = idf(docFreq=3075, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.0043612984 = weight(abstract_txt:from in 5044) [ClassicSimilarity], result of:
0.0043612984 = score(doc=5044,freq=1.0), product of:
0.02885414 = queryWeight, product of:
1.1956728 = boost
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.008731245 = queryNorm
0.15114984 = fieldWeight in 5044, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.005181639 = weight(abstract_txt:that in 5044) [ClassicSimilarity], result of:
0.005181639 = score(doc=5044,freq=2.0), product of:
0.028275609 = queryWeight, product of:
1.3667328 = boost
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.008731245 = queryNorm
0.18325473 = fieldWeight in 5044, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.019586464 = weight(abstract_txt:perspective in 5044) [ClassicSimilarity], result of:
0.019586464 = score(doc=5044,freq=1.0), product of:
0.0686127 = queryWeight, product of:
1.505445 = boost
5.219915 = idf(docFreq=649, maxDocs=44218)
0.008731245 = queryNorm
0.2854641 = fieldWeight in 5044, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
5.219915 = idf(docFreq=649, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.16215731 = weight(abstract_txt:mining in 5044) [ClassicSimilarity], result of:
0.16215731 = score(doc=5044,freq=1.0), product of:
0.48015508 = queryWeight, product of:
8.905092 = boost
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.008731245 = queryNorm
0.33771864 = fieldWeight in 5044, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.93074334 = weight(abstract_txt:opinion in 5044) [ClassicSimilarity], result of:
0.93074334 = score(doc=5044,freq=12.0), product of:
0.7144587 = queryWeight, product of:
11.899448 = boost
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.008731245 = queryNorm
1.3027252 = fieldWeight in 5044, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.0546875 = fieldNorm(doc=5044)
0.36 = coord(9/25)
-
Bi, Y.: Sentiment classification in social media data by combining triplet belief functions (2022)
0.39
0.39453363 = sum of:
0.39453363 = product of:
0.9863341 = sum of:
0.008201069 = weight(abstract_txt:paper in 613) [ClassicSimilarity], result of:
0.008201069 = score(doc=613,freq=1.0), product of:
0.030274678 = queryWeight, product of:
1.0000056 = boost
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.008731245 = queryNorm
0.27088875 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.0041461056 = weight(abstract_txt:this in 613) [ClassicSimilarity], result of:
0.0041461056 = score(doc=613,freq=1.0), product of:
0.021993274 = queryWeight, product of:
1.0438864 = boost
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.008731245 = queryNorm
0.18851699 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.009594251 = weight(abstract_txt:analysis in 613) [ClassicSimilarity], result of:
0.009594251 = score(doc=613,freq=1.0), product of:
0.033612948 = queryWeight, product of:
1.0536975 = boost
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.008731245 = queryNorm
0.2854332 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.09480055 = weight(abstract_txt:sentiment in 613) [ClassicSimilarity], result of:
0.09480055 = score(doc=613,freq=5.0), product of:
0.07184112 = queryWeight, product of:
1.0892667 = boost
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.008731245 = queryNorm
1.3195862 = fieldWeight in 613, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.006230426 = weight(abstract_txt:from in 613) [ClassicSimilarity], result of:
0.006230426 = score(doc=613,freq=1.0), product of:
0.02885414 = queryWeight, product of:
1.1956728 = boost
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.008731245 = queryNorm
0.21592833 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.007402342 = weight(abstract_txt:that in 613) [ClassicSimilarity], result of:
0.007402342 = score(doc=613,freq=2.0), product of:
0.028275609 = queryWeight, product of:
1.3667328 = boost
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.008731245 = queryNorm
0.26179248 = fieldWeight in 613, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.033842366 = weight(abstract_txt:review in 613) [ClassicSimilarity], result of:
0.033842366 = score(doc=613,freq=1.0), product of:
0.08916 = queryWeight, product of:
2.1018093 = boost
4.858482 = idf(docFreq=932, maxDocs=44218)
0.008731245 = queryNorm
0.3795689 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.858482 = idf(docFreq=932, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.2066316 = weight(abstract_txt:comparative in 613) [ClassicSimilarity], result of:
0.2066316 = score(doc=613,freq=1.0), product of:
0.413032 = queryWeight, product of:
7.3872786 = boost
6.4035826 = idf(docFreq=198, maxDocs=44218)
0.008731245 = queryNorm
0.5002799 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.4035826 = idf(docFreq=198, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.23165332 = weight(abstract_txt:mining in 613) [ClassicSimilarity], result of:
0.23165332 = score(doc=613,freq=1.0), product of:
0.48015508 = queryWeight, product of:
8.905092 = boost
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.008731245 = queryNorm
0.4824552 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.38383207 = weight(abstract_txt:opinion in 613) [ClassicSimilarity], result of:
0.38383207 = score(doc=613,freq=1.0), product of:
0.7144587 = queryWeight, product of:
11.899448 = boost
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.008731245 = queryNorm
0.5372348 = fieldWeight in 613, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.078125 = fieldNorm(doc=613)
0.4 = coord(10/25)
-
Miao, Q.; Li, Q.; Zeng, D.: Fine-grained opinion mining by integrating multiple review sources (2010)
0.32
0.32485756 = sum of:
0.32485756 = product of:
1.1602056 = sum of:
0.0049753273 = weight(abstract_txt:this in 4104) [ClassicSimilarity], result of:
0.0049753273 = score(doc=4104,freq=1.0), product of:
0.021993274 = queryWeight, product of:
1.0438864 = boost
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.008731245 = queryNorm
0.2262204 = fieldWeight in 4104, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.050875314 = weight(abstract_txt:sentiment in 4104) [ClassicSimilarity], result of:
0.050875314 = score(doc=4104,freq=1.0), product of:
0.07184112 = queryWeight, product of:
1.0892667 = boost
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.008731245 = queryNorm
0.7081643 = fieldWeight in 4104, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.012949697 = weight(abstract_txt:from in 4104) [ClassicSimilarity], result of:
0.012949697 = score(doc=4104,freq=3.0), product of:
0.02885414 = queryWeight, product of:
1.1956728 = boost
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.008731245 = queryNorm
0.4487986 = fieldWeight in 4104, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
2.7638826 = idf(docFreq=7577, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.006281095 = weight(abstract_txt:that in 4104) [ClassicSimilarity], result of:
0.006281095 = score(doc=4104,freq=1.0), product of:
0.028275609 = queryWeight, product of:
1.3667328 = boost
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.008731245 = queryNorm
0.22213829 = fieldWeight in 4104, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.040610835 = weight(abstract_txt:review in 4104) [ClassicSimilarity], result of:
0.040610835 = score(doc=4104,freq=1.0), product of:
0.08916 = queryWeight, product of:
2.1018093 = boost
4.858482 = idf(docFreq=932, maxDocs=44218)
0.008731245 = queryNorm
0.45548266 = fieldWeight in 4104, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.858482 = idf(docFreq=932, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.3931287 = weight(abstract_txt:mining in 4104) [ClassicSimilarity], result of:
0.3931287 = score(doc=4104,freq=2.0), product of:
0.48015508 = queryWeight, product of:
8.905092 = boost
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.008731245 = queryNorm
0.8187536 = fieldWeight in 4104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.65138465 = weight(abstract_txt:opinion in 4104) [ClassicSimilarity], result of:
0.65138465 = score(doc=4104,freq=2.0), product of:
0.7144587 = queryWeight, product of:
11.899448 = boost
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.008731245 = queryNorm
0.9117177 = fieldWeight in 4104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.09375 = fieldNorm(doc=4104)
0.28 = coord(7/25)
-
Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008)
0.32
0.32350937 = sum of:
0.32350937 = product of:
1.1553906 = sum of:
0.0029022743 = weight(abstract_txt:this in 1171) [ClassicSimilarity], result of:
0.0029022743 = score(doc=1171,freq=1.0), product of:
0.021993274 = queryWeight, product of:
1.0438864 = boost
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.008731245 = queryNorm
0.1319619 = fieldWeight in 1171, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.013431952 = weight(abstract_txt:analysis in 1171) [ClassicSimilarity], result of:
0.013431952 = score(doc=1171,freq=4.0), product of:
0.033612948 = queryWeight, product of:
1.0536975 = boost
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.008731245 = queryNorm
0.3996065 = fieldWeight in 1171, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.066360384 = weight(abstract_txt:sentiment in 1171) [ClassicSimilarity], result of:
0.066360384 = score(doc=1171,freq=5.0), product of:
0.07184112 = queryWeight, product of:
1.0892667 = boost
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.008731245 = queryNorm
0.92371035 = fieldWeight in 1171, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.008192891 = weight(abstract_txt:that in 1171) [ClassicSimilarity], result of:
0.008192891 = score(doc=1171,freq=5.0), product of:
0.028275609 = queryWeight, product of:
1.3667328 = boost
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.008731245 = queryNorm
0.28975117 = fieldWeight in 1171, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
2.3694751 = idf(docFreq=11241, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.023689654 = weight(abstract_txt:review in 1171) [ClassicSimilarity], result of:
0.023689654 = score(doc=1171,freq=1.0), product of:
0.08916 = queryWeight, product of:
2.1018093 = boost
4.858482 = idf(docFreq=932, maxDocs=44218)
0.008731245 = queryNorm
0.26569822 = fieldWeight in 1171, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.858482 = idf(docFreq=932, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.28086472 = weight(abstract_txt:mining in 1171) [ClassicSimilarity], result of:
0.28086472 = score(doc=1171,freq=3.0), product of:
0.48015508 = queryWeight, product of:
8.905092 = boost
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.008731245 = queryNorm
0.58494586 = fieldWeight in 1171, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.75994873 = weight(abstract_txt:opinion in 1171) [ClassicSimilarity], result of:
0.75994873 = score(doc=1171,freq=8.0), product of:
0.7144587 = queryWeight, product of:
11.899448 = boost
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.008731245 = queryNorm
1.0636706 = fieldWeight in 1171, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.0546875 = fieldNorm(doc=1171)
0.28 = coord(7/25)
-
Huang, H.-H.; Wang, J.-J.; Chen, H.-H.: Implicit opinion analysis : extraction and polarity labelling (2017)
0.28
0.27671257 = sum of:
0.27671257 = product of:
1.152969 = sum of:
0.009841284 = weight(abstract_txt:paper in 3820) [ClassicSimilarity], result of:
0.009841284 = score(doc=3820,freq=1.0), product of:
0.030274678 = queryWeight, product of:
1.0000056 = boost
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.008731245 = queryNorm
0.3250665 = fieldWeight in 3820, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.467376 = idf(docFreq=3749, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.0049753273 = weight(abstract_txt:this in 3820) [ClassicSimilarity], result of:
0.0049753273 = score(doc=3820,freq=1.0), product of:
0.021993274 = queryWeight, product of:
1.0438864 = boost
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.008731245 = queryNorm
0.2262204 = fieldWeight in 3820, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4130175 = idf(docFreq=10762, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.011513102 = weight(abstract_txt:analysis in 3820) [ClassicSimilarity], result of:
0.011513102 = score(doc=3820,freq=1.0), product of:
0.033612948 = queryWeight, product of:
1.0536975 = boost
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.008731245 = queryNorm
0.34251985 = fieldWeight in 3820, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
3.6535451 = idf(docFreq=3112, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.050875314 = weight(abstract_txt:sentiment in 3820) [ClassicSimilarity], result of:
0.050875314 = score(doc=3820,freq=1.0), product of:
0.07184112 = queryWeight, product of:
1.0892667 = boost
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.008731245 = queryNorm
0.7081643 = fieldWeight in 3820, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
7.5537524 = idf(docFreq=62, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.27798396 = weight(abstract_txt:mining in 3820) [ClassicSimilarity], result of:
0.27798396 = score(doc=3820,freq=1.0), product of:
0.48015508 = queryWeight, product of:
8.905092 = boost
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.008731245 = queryNorm
0.57894623 = fieldWeight in 3820, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.1754265 = idf(docFreq=249, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.79778004 = weight(abstract_txt:opinion in 3820) [ClassicSimilarity], result of:
0.79778004 = score(doc=3820,freq=3.0), product of:
0.7144587 = queryWeight, product of:
11.899448 = boost
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.008731245 = queryNorm
1.1166216 = fieldWeight in 3820, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
6.8766055 = idf(docFreq=123, maxDocs=44218)
0.09375 = fieldNorm(doc=3820)
0.24 = coord(6/25)