Which words are important?: an empirical study of Assamese sentiment analysis

Author:

Das Ringki,Singh Thoudam Doren

Publisher

Springer Science and Business Media LLC

Reference31 articles.

1. Agarwal, B., & Mittal, N. (2016). Prominent feature extraction for sentiment analysis  Berlin: Springer.

2. Bansal, V., Tyagi, M., Sharma, R., Gupta, V., & Xin, Q. (2022). A transformer based approach for abuse detection in code mixed indic languages. ACM Transactions on Asian and Low-Resource Language Information Processing. https://doi.org/10.1145/3571818

3. Benamara, F., Cesarano, C., Picariello, A., Recupero, D. R., & Subrahmanian, V. S. (2007). Sentiment analysis: Adjectives and adverbs are better than adjectives alone. ICWSM, 7, 203–206.

4. Daimary, S. K., Goyal, V., Barbora, M., & Singh, U. (2018). Development of part of speech tagger for assamese using hmm. International Journal of Synthetic Emotions (IJSE), 9(1), 23–32.

5. Das, A., & Bandyopadhyay, S. (2010). Opinion-polarity identification in bengali. In: International Conference on Computer Processing of Oriental Languages, pp. 169–182.

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