Abstract
The study addresses a model that can handle a lot of data to produce more accurate forecasts and provide a technical overview of sentiment analysis with a LSTM network. A cognitive technique for determining a text’s emotional tone is sentiment analysis. The paper provides a valuable exploration on Sentiment analysis in Natural Language Processing. Since the advent of the Internet, social media, forums, and blogs have all produced a large number of individualized reviews. To accomplish this goal, review learning systems have arisen that classify and forecast users’ opinions and emotions.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2026 Special Focus—Human-Centered AI Transformations
KEYWORDS
Sentiment Analysis, Natural Language Processing, LSTM, Cognitive, Text analysis, Data-Driven
