Papers by Prathusha Kameswara Sarma
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets (N18-4)
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| Challenge: | Existing word embeddings for sentiment analysis are limited in domain specific applications . generic word embeds are poor initialization for tasks on domain specific data sets. |
| Approach: | They propose to use word embeddings adapted for domain specific data sets in sentiment classification applications. |
| Outcome: | The proposed algorithms learn word embeddings on sparse and sentiment rich data sets. |