Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

Negation handling is a crucial aspect of sentiment analysis, as it presents challenges to
accurate sentiment classification by altering polarity and reducing reliability. Traditional …

Sentiment analysis plays an important role in assessing the human emotions and feelings
by using Natural Language Processing (NLP) technique. Researchers have recently …

Multimodal named entity recognition (MNER) is a crucial task in social systems of artificial
intelligence that requires precise identification of named entities in sentences using both …

Negation plays an essential role in sentiment analysis within natural language processing
(NLP). Its integration involves two key aspects: identifying the scope of negation and …

In the modern digital landscape, social media platforms have the dual role of fostering
unprecedented connectivity and harboring a dark underbelly in the form of widespread …

Sentiment Analysis is one of the most important tasks for any language and a very important
domain in Natural Language Processing which has shown remarkable progress recently …

Negation handling is one of the challenges of natural language processing. Nowadays,
negation detection and negation handling have significance in numerous fields like …

Emotions-based sentiment analysis using fusion-based learning models uses artificial
intelligence (AI) techniques to identify and analyze emotions associated with a particular text …

Natural Language Processing, or NLP, is key for digging through and finding important bits
in large pools of text. This study looks at how we can use bits of language, like how words …