How can sentiment analysis be used to analyze feedback on fan fiction?

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Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Sentiment analysis uses natural language processing (NLP) and machine learning (ML) technologies to train computer software to analyze and interpret text in a ... Feb 23, 2017 ... The basic theme is to reduce noise from the review text by applying different pre-processing steps and process through variant of classifiers. Specifically, the self-attention mechanism enables AMIC to generate context-aware word embeddings, assigning document-specific sentiment scores to words based ... A sentiment analysis tool can also be used for monitoring. As an extension of brand perception monitoring, sentiment analysis can be an invaluable crisis ... Sentiment analysis is a technique used to determine the emotional tone behind a piece of text—whether it conveys a positive, negative, or neutral sentiment ... Sentiment analysis is an artificial intelligence tool that scores documents on the likelihood that they contain negativity, anger, desire, or other emotions. Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and ... Mar 19, 2013 ... We created a tableau dashboard for sentiment analyses, on top of our sentiment analyses platform. Can be setup in 15 minutes.
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