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Prologue to Sentiment Analysis and its Challenges
, Pooja Sikchi
Published in Institute For Engineering Research and Publication (IFERP)
Volume: 5.0
Issue: 3.0
Pages: 337.0 - 340.0
In a most recent couple of years, there has been a colossal consideration towards opinion investigation to remove the plenitude of information that exists on the web-based social networking locales, for example, Facebook, Twitter, and so on. This information is assessment information which can be certain or negative. Different kinds of assumptions are anticipated by various clients. This information comprehends the perspective of clients and furthermore catches the mentality of a client towards the item. We are primarily concentrating on the utilization of content digging for slants grouping. It means to catch or break down the mindset and assumptions of individuals in a specific era or season. This mindset can be glad, tragic, furious, befuddled, and so forth. This investigation would require a specific calculation or a strategy. For this reason, we can utilize existing techniques in view of Support Vector Machine and Naïve Bayes. Utilizing content mining we build a notion vocabulary, in view of interpositions, emojis or acronyms. These are extricated from statuses refreshes by various clients on Facebook. Content mining encourages you to remove subjective data.Keywords: We would like to encourage you to list your keywords here. They should be separated by commas.
About the journal
JournalInternational Journal of Engineering Research in Computer Science and Engineering (IJERCSE)
PublisherInstitute For Engineering Research and Publication (IFERP)
Open Access0