Abstract
In this paper, we present an open-source emotion tracker and its innovative applications. Our tracker, EmoGram, tracks emotion changes for a sequence of textual units. It is versatile in terms of the textual unit (tweets, sentences in discourse, etc.) and also what constitutes the time sequence (timestamps of tweets, discourse nature of text, etc.). We demonstrate the utility of our system through our applications: a sequence of commentaries in cricket matches, a sequence of dialogues in a play, and a sequence of tweets related to the Maggi controversy in India in 2015. That one system can be used for these applications is the merit of EmoGram.
| Original language | English |
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| Title of host publication | The Workshops of the Thirtieth AAAI Conference on Artificial Intelligence |
| Place of Publication | Palo Alto, California |
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
| Pages | 512-516 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781577357599 |
| Publication status | Published - 2016 |
| Event | AAAI Conference on Artificial Intelligence Workshops 2016: Knowledge Extraction from Text - Phoenix, United States of America Duration: 12 Feb 2016 → 13 Feb 2016 Conference number: 30th |
Conference
| Conference | AAAI Conference on Artificial Intelligence Workshops 2016 |
|---|---|
| Country/Territory | United States of America |
| City | Phoenix |
| Period | 12/02/16 → 13/02/16 |