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Sentiment Analysis Techniques Guide by dskumarw2383 is a document available to read on EtoBox.

The document outlines the process for obtaining sentiment scores for words in a dataset, including text preprocessing, tokenization, and using sentiment lexicons. It explains the meanings of positive and negative sentiments in sentiment analysis and identifies various platforms for analyzing customer sentiment, such as social media and customer reviews. Additionally, it discusses algorithms used for sentiment analysis, ranging from lexicon-based approaches to machine learning and deep learning methods.

Author
dskumarw2383
Language
EN