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Big data and sentiment analysis: A comprehensive and systematic literature review
M Hajiali - Concurrency and Computation: Practice and …, 2020 - Wiley Online Library
Sentiment analysis can extract information from many text sources such as reviews, news,
and blogs; then it classifies them based on their polarity. Moreover, big data is produced via …
and blogs; then it classifies them based on their polarity. Moreover, big data is produced via …
[PDF][PDF] Sentiment Detection on Sudanese Political Tweets Using Deep Learning Approach
Sentiment detection of Arabic tweets is interesting research topic and it enables scholars to
analyze huge resources of shared opinions in social media websites such as Facebook and …
analyze huge resources of shared opinions in social media websites such as Facebook and …
Sentiment Parser based on X-Bar Theory to Brazilian Portuguese
Sentiment Analysis is a field of Natural Language Processing (NLP) that deals with the
identification and extraction of opinions within texts. One approach involves analyzing the …
identification and extraction of opinions within texts. One approach involves analyzing the …
[DOC][DOC] TEXTUAL ANALYSIS OF BIG DATA IN SOCIAL MEDIA THROUGH DATA MINING AND FUZZY LOGIC PROCESS
RDANA PABLO II, JA ESQUIVEL - researchgate.net
Textual analysis is a way to gather information from the text. Textual analysis' modern use is
in sentiment analysis. The vast data available data online most especially from social media …
in sentiment analysis. The vast data available data online most especially from social media …