A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification

A survey on opinion mining and sentiment analysis: Tasks, approaches and applications

“…The last subsection 3.6 presents various existing applications of SA, whereas possible future applications are discussed in the next section. [44], [75], [110], [163], [167], [174] 2 Polarity determination 43 [12], [26], [29], [32], [33], [35], [40], [45], [48], [50], [54], [57], [66], [85], [95], [96], [108], [109], [112], [114], [123], [126], [154], [156], [157], [160], [162], [165], [166], [168], [169], [170], [171], [172], [176], [177], [178], [179], [180], [203], [205], [206], …”

“…In addition to these, some more statistical feature extraction methods, proposed in recent literature, are summarized here. [251] TweetMotif Tokenization of tweets [204], [250] POS tagger Twitter POS tagger [244] TweetNLP 6 Twitter natural language processing [245] Lancaster stemming algorithm Stemmer [246] GNU Aspell Spell Checker [247] Snowball English stemmer [248] Stanford Log-linear Part-Of-Speech Tagger POS tagger [249] TweeboParser Tweet Dependency parser Wang et al [44] performed subjectivity classification by considering improved Fisher's discriminant ratio based feature selection method. Experiments were performed on two Chinese corpora, multi-domain reviews; COAE2008s, and 11 different car brand reviews; BOACAR.…”

A feature selection model based on genetic rank aggregation for text sentiment classification

“…Wang et al [7] presented an improved Fisher's discriminant ratio-based feature selection method for text sentiment classification. The performance of the proposed feature selection method is compared with different feature selection methods with Support Vector Machine classifier.…”

Chinese comments sentiment classification based on word2vec and SVMperf

“…Zhai et al (2011b) extracted sentiment-words, substrings, substringgroups and key-substring-groups as features. Wang, Li, Song, Wei, and Li (2011) proposed an effective feature selection method based on fisher's discriminant ratio for subjectivity text sentiment classification. Yao, Wang, and Yin (2011) used statistical-based machine learning methods to select features and reduce dimensionality for sentiment classification of Chinese online reviews based on hotels.…”