Abstract: The rapid growth of social media and internet usage creates a vast amount of textual information, making sentiment analysis important for understanding the interpretation of people. Most ...
In the weeks leading up to Valentine's Day, dating apps typically see a spike in new users and activity. More profiles are ...
This application provides real-time sentiment analysis capabilities using AWS services. Users can input text and receive sentiment analysis results (positive, negative, or neutral) with confidence ...
Traditional bibliometric approaches to research impact assessment have predominantly relied on citation counts, overlooking the qualitative dimensions of how research is received and discussed.
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...
This is a robust web-based sentiment analysis application developed using Streamlit. The application leverages two advanced sentiment analysis techniques: VADER (Valence Aware Dictionary and sEntiment ...
Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...
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