web.cs.wpi.edu

CS548 Fall 2017 Web Mining Showcase by Linh Hoang Giorgi Gachechiladze Tian Xie Jiaming Di Yang Zheng Showcasing work By Sepandar D. Kamvar, Jonathan Harris on We Feel Fine and searching the emotional web References [1] M. M. Bradley and P. Lang. Affective norms for English words. University of Florida Technical Report, 1999.

[2] S. Card, J. Mackinlay, and B. Shneiderman. Readings in Information Visualization. Morgan Kaufman, San Francisco, 1999. [3] M. Cohn, M. Mehl, and J. Pennebaker. Linguistic markers of psychological change surrounding September 11, 2001. Psychological Science, 15(10):687693, 2004. [4] P. Dodds and C. Danforth. Measuring the happiness of large-scale written expression: songs, blogs, and presidents. Journal of Happiness Studies, 2009. [5] S. Fodor et al. Light-directed, spatially addressable parallel chemical synthesis. Science, 1991. [6] J. Fowler and N. Christakis. Dynamic spread of happiness in a large social network. British Medical Journal, 3, 2008. [7] B. Fry and C. Reas. Processing. MIT Press, Cambridge, 2007. [8] W. Gaver et al. The prayer companion. In CHI, 2010. [9] M. Hansen and B. Rubin. Listening post. Whitney Museum of American Art, 2003. [10] J. Harris and S. D. Kamvar. I want you to want me. Museum of Modern Art, 2008. [11] J. Heer and D. Boyd. Vizster: Visualizing online social networks. In INFOVIS, 2005. [12] S. D. Kamvar and J. Harris. We Feel Fine: An Almanac of Human Emotion. Scribner, New York, 2009. [13] D. Lazer et al. Computational social science. Science, 323(5915):721723, 2009. [14] G. Levin and K. Nigam. The dumpster. Whitney Museum of American Art, 2006.

[15] M. Lewis and J. Haviland-Jones. Handbook of Emotions, Third Edition. Guilford Press, New York, 2008. [16] A. McCallum, D. Freitag, and F. C. N. Pereira. Maximum entropy markov models for information extraction and segmentation. In ICML, 2000. [17] C. Mogilner, S. D. Kamvar, and J. Aaker. How the meaning of happiness shifts across the life course. Social Psychological and Personality Science, 2010. [18] J. Mook et al. Anxiety, anger and depression: Relationships at the trait level. Anxiety, Stress, and Coping, 3(1):1731, 1990. [19] B. Pang and L. Lee. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In ACL, 2004. [20] B. Pang and L. Lee. Opinion mining and sentiment analysis. Found. Trends Inf. Retr., 2(1-2):1135, 2008. [21] R. Plutchik. The emotions: facts, theories, and a new model. Random House, New York, 1962. [22] K. Podenphant. I am feeling. 2009. [23] P. Salovey and J. Mayer. Emotional intelligence. Imagination, Cognition, and Personality, 9:185211, 1990. [24] P. Watkings et al. Gratitude and happiness: Development of a measure of gratitude, and relationships with subjective well-being. Social Behavior and Personality, 31(5):431 451, 2003. [25] M. Wattenberg and J. Kriss. Designing for social data analysis. IEEE Transactions on Visualization and Computer Graphics, 12(4):549557, 2006.

Introduction We We Feel Feel Fine Fine is is an an emotional emotional search search engine engine that

that collects collects the the worlds worlds emotions emotions to to help help people people better better understand understand themselves and

others. themselves and others. continuously continuously crawls crawls blogs, blogs, microblogs, microblogs, and and social social networking networking sites, sites, extracting

extracting sentences sentences that that include the words I feel or I am feeling, include the words I feel or I am feeling, as

as well well as the gender, age, and location of the people as the gender, age, and location of the people authoring

authoring those those sentences. sentences. Background Sentiment Sentiment Analysis Analysis def: the process of computationally identifying and categorizing opinions expressed in a piece of text, def: the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc.,

especially in order to determine whether the writer's attitude towards a particular topic, product, etc., is positive, negative, or neutral. is positive, negative, or neutral. Research Research in in this this area area largely largely focused focused on on algorithms

algorithms for for opinion opinion extractions extractions and and categorization categorization (Pang, (Pang, Lee, Lee, 2008) 2008) Typical Typical motivating

motivating applications applications have have been been technologies technologies that that help help consumers consumers make make purchase purchase decisions. decisions.

Mining Web Web Mining def: Web mining is the application of data mining techniques to discover patterns from the World Wide Web. def: Web mining is the application of data mining techniques to discover patterns from the World Wide Web. Social Social Media Media allows

allows large-scale large-scale availability availability of of emotional emotional text text Opens Opens possibilities possibilities to to do do much much more

more than than just just make make better better decisions decisions about about products products -- better better understand understand emotions emotions themselves themselves

Project Project aims aims to to collect collect the the worlds worlds emotions emotions to to help help people

people better better understand understand themselves themselves and and others. others. We We Feel Feel Fine Fine has

has been been harvesting harvesting human human feelings feelings from from aa large large number number of of weblogs. weblogs. Every Every few few minutes, minutes,

the the system system searches searches the the worlds worlds newly newly posted posted blog blog entries entries for for occurrences occurrences of of the

the phrases phrases I I feel feel and and I I am am feeling. feeling. When

When itit finds finds such such aa phrase, phrase, itit records records the the full full sentence sentence and and identifies identifies the the feeling feeling expressed expressed in

in that that sentence sentence (e.g. (e.g. sad, sad, happy, happy, depressed, depressed, etc.). etc.). The

The result result is is aa database database of of several several million million feelings, feelings, increasing increasing by by 10,000 10,000 -- 15,000 15,000 new new feelings

feelings per per day. day. Data Data visualizations visualizations that that helps helps us us understand understand emotions

emotions themselves. themselves. Design Considerations A system framework which enables both a qualitative and statistical exploration of other peoples emotions. Statistical analyses to support a cognitive understanding of emotional patterns Immersive interaction with individual stories to support a more visceral understanding of the nature of emotions. Design Considerations Sentence-level analysis: People often express emotions at the sentence level

Indexing context: providing context to emotions such as Age, Gender, Weather, Location, Date. De-emphasizing ranking: Sentiment data are hard to rank Emphasizing browsing and summarization Visualizations that reflect the data Direct Access to the Data: provide easy-to-access API Architecture Architecture Architecture

Architecture Architecture Architecture Architecture Architecture Architecture Architecture

Architecture Architecture User Interface One of the goals: A data mining visualization tool that provides an engaging means of qualitative exploration of emotional data Search Panel Overall view

Emotional graphs Sentence + Image Some statistics views Usage observations Observed usage in an informal laboratory setting and collected comments on the tools around the Internet. Patterns: Emotional Self-Awareness. Almost all participants in the study exhibited a heightened selfawareness and self reflection of their own emotions. Empathy. In addition to self-awareness, the participants also reported a feeling of connection

and empathy API RESTful API: returns data given a query. Translates a url to a SQL query on the We Feel Fine database, and returns the results in XML, HTML, CSV, or plain text. Sentiment Mining Server: computes basic statistics over an API query. Consists of a set of functions that preprocess an API query to compute elementary statistics on the data set. Usage Observation The Meaning of Happiness

The study by Mogilner et al. [1] on themeaningof happiness is one of the most interesting examples of how We Feel Fine works in tandem with traditional experimental methods in emotions research. The co-occurrence of excited feelings and happy feelings decrease as people grow older, while the co-occurrence of peaceful feelings and happy feelings increase. Tested by a controlled lab experiment. [1]C. Mogilner, S. D. Kamvar, and J. Aaker. How the meaning of happiness shifts across the life course. Social Psychological and Personality Science, 2010 Usage Observation The Emotions of Aging Less anger, disgust,

and sadness as people get older Consistent with the psychology literature[1] [1] M. Lewis and J. Haviland-Jones. Handbook of Emotions, Third Edition. Guilford Press, New York, 2008. Usage Observation Time Series Analyses[1]

Election Day Valentines Day Week vs. Weekend Morning vs. Night [1]J. Heer and D. Boyd. Vizster: Visualizing online social networks. In INFOVIS, 2005. Usage Observation The Emotional Graph DISCUSSION - Experiential Data Visualization

Communicated in words, but much more powerfully communicated by example Focus on interaction models that encourage direct interaction Focus on influencing effect rather than cognition DISCUSSION - Crowdsourced Data Mining Over 8 million people have visited We Feel Fine from 2006- 2010 each spending an average of close to 4 minutes exploring the data. This speaks for the potential of crowdsourced data analysis. CONCLUSION This item-level exploration of data can bring its own experiential benefits to

the user, as well as enable crowdsourced qualitative data analysis. Sentiment data on the web can be used to build scalable computational tools to support social science research. Such tools have the potential for social science researchers to run inexpensive large-scale studies to generate data-driven hypotheses.

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