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http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16389| Title: | Bits2020@ Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data |
| Authors: | Sharma, Yashvardhan |
| Keywords: | Computer Science Sentiment analysis Recurrent neural networks Sub-word Analysis |
| Issue Date: | 2020 |
| Publisher: | CEUR-WS |
| Abstract: | This paper presents the methodologies implemented while classifying Dravidian code-mixed comments according to their polarity in the evaluation of the track ‘Sentiment Analysis for Davidian Languages in Code-Mixed Text’ proposed by Forum of Information Retrieval Evaluation in 2020. The implemented method used a sub-word level representation to capture the sentiment of the text. Using a Long Short Term Memory (LSTM) network along with language-specific preprocessing, the model classified the text according to its polarity. With F1-scores of 0.61 and 0.60, the model achieved an overall rank of 5 and 12 in the Tamil and Malayalam tasks respectively. |
| URI: | https://www.academia.edu/download/88147088/T4-4.pdf http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16389 |
| Appears in Collections: | Department of Computer Science and Information Systems |
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