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  • Sentiment analysis: A survey on design framework . . .
    Non-text data like video, audio, and image are helpful in such a scenario to portray sentiment accurately Text analysis A key part of sentiment analysis is extracting insightful information, trends, and patterns To extract them from unstructured and semi-structured text data, text analysis is a process that supports sentiment analysis
  • Textual sentiment analysis via three different attention . . .
    In the former case, the text data are more oral and contain more popular words than that in the latter case Currently, the approaches to extracting sentiment from sentence can be summarized as two categories: lexicon-based sentiment analysis and machine learning sentiment classification
  • Exploring Sentiment Analysis in Text Data using Python and . . .
    Sentiment Analysis: Once the language of the text is determined, we can proceed with sentiment analysis using the SentimentIntensityAnalyzer The analyzer calculates sentiment scores for each text
  • A Comprehensive Review of Visual-Textual Sentiment Analysis . . .
    The brief phrasing and unstructured style of social media communication pose various issues This text analysis allows businesses to determine client needs and political parties to conduct opinion surveys Many applications rely on textual sentiment research, including stock market forecasting, box office and election predictions
  • (PDF) Challenges and Issues in Sentiment Analysis: A . . .
    Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning
  • Using Non-textual Content of Tweets in Sentiment Analysis: A . . .
    3 3 Sentiment Analysis To perform the sentiment analysis task, this study used MeaningCloud™, a multilingual text analysis engine Since MeaningCloud™ allows users to personalise their own dictionaries according to the context of the study, a personalised dictionary was implemented, adding local slang and other nonstandard words used in everyday language in Ecuador to include user-defined
  • Sentiment Analysis on Text data: Methods, Applications . . .
    Sentiment analysis, or opinion mining, is the computer examination of text data thoughts, opinions, and emotions Emotions analysis has gained popularity because to the growing volume of user-generated content on social media and the need to understand public mood and client feedback This review article summarizes sentiment analysis's knowledge, methods, challenges, and advancements





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