Sentiment Classification Techniques

Machine Learning Approach

Lexical Based Approach

Other NLP techniques

Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews (2012), Hanhoon Kang et al. [pdf]
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers (2012), Jonathan Ortigosa-Hernandez et al. [pdf]
JMaxAlign: A Maximum Entropy Parallel Sentence Alignment Tool (2012), Joseph Max KauFmann. [pdf]

Quality evaluation of product reviews using an information quality framework(2011), Chien Chin Chen et al. [pdf]
The socialist network(2012), Matje van de Camp et al. [pdf]
Deriving market intelligence from microblogs(2013), Yung-Ming Li et al. [pdf]

Recursive deep models for semantic compositionality over a sentiment treebank (2013), R. Socher et al. [pdf] [code]
A Convolutional Neural Network for Modelling Sentences(2014), Nal Kalchbrenner et al. [pdf] [code]
Aspect Level Sentiment Classification with Deep Memory Network(2016), Duyu Tang et al. [pdf] [code]
Learning to Generate Reviews and Discovering Sentiment(2017), Alec Radford et al. [pdf] [code]

Mining and Summarizing Customer Reviews(2004), Minqing Hu et al. [pdf]
Determining the Sentiment of Opinions(2004), Kim et al. [pdf]
DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis(2010), Qiu et al. [pdf]

Predicting the semantic Orientation of Adjectives(1997), Hatzivassiloglou et al. [pdf]
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data(2001), Lafferty et al. [pdf]
Sentiment Polarity Analysis based multi-dictionary(2011) Jiao et al. [pdf]
Mining comparative opinions from customer reviews for Competitive Intelligence(2011) Xu et al. [pdf]
‘Long autonomy or long delay?’ The importance of domain in opinion mining(2013) Cruz et al. [pdf]

Indexing by Latent Semantic Analysis(1990), Deerwester et al. [pdf]
Producing high-dimensional semantic spaces from lexical co-occurrence(1996), Lund et al. [pdf]
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews(2002), Turney et al. [pdf]
Thumbs up? Sentiment Classification using Machine Learnin Techniques(2002), Pang et al. [pdf]
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales(2005), Pang et al. [pdf]
Old Wine or Warm Beer: Target-Specific Sentiment Analysis of Adjectives(2008), Fahrni et al. [pdf]
Weakly supervised techniques for domain-independent sentiment classification(2009), Read et al. [pdf]
Exploring determinants of voting for the “helpfulness” of online user reviews: A text mining approach(2011), Cao et al. [pdf]`
Manipulation of online reviews: An analysis of ratings, readability, and sentiments(2012), Hu et al. [pdf]
Identifying the semantic orientation of terms using S-HAL for sentiment analysis(2012), Xu et al. [pdf]
Predicting Collective Sentiment Dynamics from Time-series Social Media(2012), Nguyen et al. [pdf]

Determining the Sentiment of Opinions(2004), Kim et al. [pdf]
A lexicon model for deep sentiment analysis and opinion mining applications(2012), Marks et al. [pdf]
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis(2012), Zhang et al. [pdf]
Electronic word of mouth analysis for service experience(2013), Pai et al. [pdf]

Lexicon-based comments-oriented news sentiment analyzer system(2012), Moreo et al. [pdf]

Sentiment Analysis via Dependency Parsing(2012), Caro et al. [pdf]
Identifying helpful reviews based on customer’s mentions about experiences(2012), Min et al. [pdf]

Reference

Medhat, Walaa, Ahmed Hassan, and Hoda Korashy. "Sentiment analysis algorithms and applications: A survey." Ain Shams Engineering Journal 5.4 (2014): 1093-1113.
Cambria, Erik, et al. "New avenues in opinion mining and sentiment analysis." IEEE Intelligent Systems 28.2 (2013): 15-21.