… analyzed for this text data is not sufficient to use for the huge corpora. In this paper, we propose
the sentiment analysis on twitter data for movie reviews by using … deep learning methods. …

… Some of the widely adopted approaches towards big data sentiment analysis of unstructured
data can be categorized into lexicon-based, linguistic-… Sentiment analysis of twitter data …

… a Bayes factor approach for sentiment analysis during critical events, we have only considered
the straightforward tweet-level sentiment analysis, in particular, only the text of the tweet. …

… sentiment analysis on Twitter and secondly as compared to the previous reviews we adopt a
systematic approach … , he simply turns on to its online real time reviews of the visitors before …

… In this study, the twitter data has been pulled out from Twitter social media, … these tweets
from Twitter’s search API and tweepy library. In summary the sentiment analysis approach has …

… through the piece of text. Through Sentiments Analysis, we can determine if a tweet of a …
Social networking platforms such as Twitter, Facebook, Instagram, YouTube, etc. have been …

… of information and analyse huge volumes of data in real time. The … for Twitter sentiment
analysis to build sentiment time series that are … Supervised methods infer a function from labelled …

… We survey the methods most commonly used to perform Sentiment … sentiment analysis and
threats such as spam, bots, fake news and hate speech. We also present Twitter’s basic data …

… This paper aims to apply topic modeling and sentiment analysis methods on COVID-19
Twitter data comparing English and Portuguese languages. The main questions investigated …

… data contains many data that relate to real-life events like COVID-19. In this paper, an analysis
of Twitter data has been done through … Sentiment analysis is the method used to evaluate …