Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis
Sentiment categorization at the aspect level tries to provide fine-grained sentiment polarities
for distinct aspects inside a sentence. Some issues remain unresolved in the previous work …
for distinct aspects inside a sentence. Some issues remain unresolved in the previous work …
CBMAFM: CNN-BiLSTM multi-attention fusion mechanism for sentiment classification
Sentiment classification, a crucial task in natural language processing, plays a significant
role in deciphering sentiment expressions within textual data. In previous work, the text …
role in deciphering sentiment expressions within textual data. In previous work, the text …
Supervised learning models to predict mental illness and its severity from Reddit posts
Given the growing popularity of free dialogue on social media, this paper presents a
methodology for identifying mental illnesses from Reddit posts where users describe their …
methodology for identifying mental illnesses from Reddit posts where users describe their …