Papers by Rama Rohit Reddy Gangula
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language (2020.lrec-1)
Copied to clipboard
| Challenge: | Aspect Based Sentiment Analysis (ABSA) is a finer level sentiment analysis that assigns polarity to each targeted aspect instead of the entire review. |
| Approach: | They propose to use Telugu as a language for aspect based sentiment analysis . they use a resource that can be used to classify and categorise aspects of a review . |
| Outcome: | The proposed resource is based on a set of tasks in Telugu which demonstrate its reliability and usefulness. |
Resource Creation Towards Automated Sentiment Analysis in Telugu (a low resource language) and Integrating Multiple Domain Sources to Enhance Sentiment Prediction (L18-1)
Copied to clipboard
| Challenge: | Sentiment Analysis of text is an important task in many applications . but the task becomes challenging when it comes to low resource languages . |
| Approach: | They propose to create a corpus of polarity-based sentiment classifiers in Telugu for different domains like movie reviews, song lyrics, product reviews and book reviews. |
| Outcome: | The proposed model performs well in multiple domains and is compared with the previous models. |