Automatic Emotion Generation and Summarization form Perceptual Text ? A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015

Automatic Emotion Generation and Summarization form Perceptual Text ? A Survey

Sayalee Sandeep Raut, Kavita P. Shirsat

Mining social emotion from text deals with new aspect for categorizing the document based on the emotions such as victory, love, anger etc. In order to predict the emotion contained in content a joint emotion-topic model is proposed by enhancing Latent Dirichlet Allocation with an additional layer for emotion modeling. Using this it first generates a latent topic from emotions, followed by generating perceptual terms from each topic. First it generates an emotion from a document-specific emotional distribution, and then it generates a latent topic from a multinominal distribution conditioned on emotions. The model which we proposed will utilize the complementary advantages of both emotion-term model and topic model and also it include more websites for creating a large vocabulary. Emotion-topic model allows associating the terms i.e. words and emotions via topics which is more flexible. Also it has better modeling capability. For each emotion, it generates a meaningful latent topic and also based on emotions, songs recommendation will be available for user. So that user can upload and enjoy their own choice of song.

Keywords: affective text mining, emotional-term model

Edition: Volume 4 Issue 10, October 2015

Pages: 1750 - 1751

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How to Cite this Article?

Sayalee Sandeep Raut, Kavita P. Shirsat, "Automatic Emotion Generation and Summarization form Perceptual Text ? A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB159132, Volume 4 Issue 10, October 2015, 1750 - 1751

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