Topic: Sentiment Analysis from a Bengali Dataset Using Hybrid Deep Learning and Contextualized Word Embedding Techniques.

Abstract:

The substantial increase of online content has significantly expanded the scope of sentiment analysis, offering deeper insights into user sentiments and perceptions. However, the Bangla NLP domain faces a critical shortage of standardized labeled data, hindering the development of accurate sentiment analysis models. Current Bangla research relies on context-independent word embeddings like Word2Vec, GloVe, and fastText, limiting the nuanced understanding of language.
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