• http://en.wikipedia.org/wiki/Sentiment_analysis

Traditionally in NLP, sentiment analysis aims to identify the opinion or sentiment of the speaker (writer) toward a certain topic. The increasing availability of massive written tidbits of people everyday life enables the large-scale measurement of people's mood. Peter Sheridan Dodds and Christopher M. Danforth suggested a very simple way to measure happiness from written texts^1. This method was used in Twittermood and several other researches^2. Facebook is also doing similar measurements[^3][^4]. Positive/negative dichotomy is probably too simplistic[^5].

Regarding Homophily and influence, it was shown that the assortativity of happiness can be measured in online social networks[^6][^7].

Interesting application: food mood: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewFile/4776/5100

How does sentiment analysis differentiate different domains[^8]?

Review #

• CACM: Techniques and Applications for Sentiment Analysis
• Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs
• SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

Methods #

Deep learning #

Using word2vec or doc2vec #

• gensim doc2vec & IMDB sentiment dataset
• Modern Methods for Sentiment Analysis

Others #

• Text By the Bay 2015: Richard Socher, Deep Learning for Natural Language Processing

Emoji #

• Sentiment of Emojis

People #

• http://www.cs.uic.edu/~liub/ - Bing Liu
• Peter Sheridan Dodds
• Christopher M. Danforth
• Cecilia Mascolo

Tutorial #

• http://sentiment.christopherpotts.net/

Projects #

• http://www.hedonometer.org/index.html
• http://www.cyberemotions.eu/
• http://www.cl.cam.ac.uk/research/srg/netos/emotionsense/ - using mobile phones.
• Deeply Moving: Deep Learning for Sentiment Analysis
• https://storify.com/clancynewyork/contretemps-a-syuzhet - Syuzhet. Are there Archetypes of stories? - see Shapes of Stories

Softwares and data #

• http://www.liwc.net/

  • http://k-liwc.ajou.ac.kr/

• Twitter sentiment analysis

• Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter - an expansion of ANEW.
• http://sentistrength.wlv.ac.uk/

Some examples #

• http://www.wefeelfine.org/
• http://neoformix.com/2011/LoveAndHateOnTwitter.html
• Stanford: CS224N - Final Project Report - Twitter sentiment analysis

Articles #

• 10 Reasons Why Automated Social Media Listening Tools Fail
• Collective emotions online and their influence on community life
• http://marcinkula.wordpress.com/2012/03/09/mining-twitter-for-consumer-attitudes-towards-hotels/

Talks #

• http://www.cs.uic.edu/~liub/FBS/Sentiment-Analysis-tutorial-AAAI-2011.pdf by Bing Liu

Companies #

References #

• Thumbs up? Sentiment Classification using Machine Learning Techniques
• Affective News: The Automated Coding of Sentiment in Political Texts
• Emotional persistence in online chatting communities
• Characterizing Happy Communities using Tweets
• Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
• Coupling news sentiment with web browsing data predicts intra-day stock prices

↑ Peter Sheridan Dodds and Christopher M. Danforth (2010). "Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents". J. Happiness Stud. 11: 441-456. doi:10.1007/s10902-009-9150-9. http://www.springerlink.com/content/757723154j4w726k/.

↑ Peter Sheridan Dodds et al. (2011). Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter. http://arxiv.org/abs/1101.5120.

↑ "Gross National Happiness". http://apps.facebook.com/usa_gnh/. Retrieved February 4, 2011.

↑ Adam D. I. Kramer (March 23, 2010). "How Happy Are We?". http://www.facebook.com/blog.php?post=150162112130. Retrieved February 4, 2011.

↑ "Not All Moods are Created Equal! Exploring Human Emotional States in Social Media". http://research.microsoft.com/en-us/um/people/munmund/pubs/icwsm_12_1.pdf.

↑ http://arxiv.org/abs/1103.0784

↑ http://arxiv.org/abs/1112.1010

↑ "Crossing Media Streams with Sentiment: Domain Adaptation in Blogs, Reviews and Twitter". http://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewFile/4580/4988.

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