Review of NLP Applications in the Field of Text Sentiment Analysis
DOI:
https://doi.org/10.5281/zenodo.11403180Keywords:
Natural Language Processing, Text Classification, Information Extraction, Question and Answer System, Machine TranslationAbstract
With the popularity of online social media and online review systems, Text sentiment analysis has become a popular research hotspot in the field of natural language processing, Identification and extracting the emotional tendency and emotional intensity in the text through automation technology can provide valuable emotional data support for enterprise decision-making, public opinion monitoring, customer relationship management and other application scenarios, This review summarizes the recent advances in the application of natural language processing in the field of text emotion analysis, It focuses on the emotion analysis model based on machine learning and deep learning and explores the challenges and future trends in the field, Review shows that sentiment analysis has become an important branch of natural language processing, Its technological development continues to provide more accurate and intelligent emotion mining ability for the application of various industries.
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