TOPICBERT: SENTIMENTAL CLASSIFICATION-OPTIMIZED TOPIC ENHANCED NEURAL LANGUAGE MODEL

Mrs. M. MOUNIKA, NIKITHA MALTHUMKAR, DURGAM SHILPA,  MADANPALLY AKHILA

TOPICBERT: SENTIMENTAL CLASSIFICATION-OPTIMIZED TOPIC ENHANCED NEURAL LANGUAGE MODEL

Authors

Mrs. M. MOUNIKA, NIKITHA MALTHUMKAR, DURGAM SHILPA, MADANPALLY AKHILA

Keywords:

Sentiment classification, Neural Language Model, Machine Learning, Natural Language Processing, Textual Data, Opinion Mining, Topic Augmentation

Abstract

Sentiment classification is a kind of dataanalytics in which data is mined to extract people's sentiments and opinions regarding something.However, with the recent development of the BERTframework and its pre-trained neural language

References

B. Liu, “Sentiment analysis and opinion mining,” Synthesis Lectures Hum. Lang. Technol., vol. 5, no. 1, pp. 1–167, 2012.

B. Pang and L. Lee, “Opinion mining and sentiment analysis,” Found. Trends Inf. Retr., vol. 2, nos. 1–2, pp. 1–135, 2008.

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Published

2024-02-15

How to Cite

Mrs. M. MOUNIKA, NIKITHA MALTHUMKAR, DURGAM SHILPA, MADANPALLY AKHILA. (2024). TOPICBERT: SENTIMENTAL CLASSIFICATION-OPTIMIZED TOPIC ENHANCED NEURAL LANGUAGE MODEL. Journal of Computational Analysis and Applications (JoCAAA), 32(2), 359–368. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2710