Recently a huge rise regarding the amount of data in the form of texts is observed and it is
equally important to understand the emotion behind these texts. The sentiment analysis of a …

This study focuses on deep learning methodologies as it examines the spectrum of
sentiment analysis techniques. Identifying the emotional tone or attitude reflected in textual …

The text mining is technique that extract data from the semi structured or unstructured text
and finds pattern it thought as knowledge discovery from the text. Deep learning is most …

Background: Text data includes things like customer reviews and complaints, tweets from
social media platforms. When analyzing text-based data, the SentimentModel is used …

Sentiment Analysis (SA) is an active research field in modern times by studying people's
sentiments posted on different web platforms over the internet. To study these sentiments …

Sentiment analysis is computational measurement of attitude, opinions, and emotions (like
positive/negative) with the help of text mining and natural language processing of words and …

Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

Sentiment analysis is the process of extracting information from the given text in which the
text consists of various sensations such as happiness, perturbation, pride, worry, and so on …

Sentiment analysis involves classifying text into positive, negative and neutral classes
according to the emotions expressed in the text. Extensive study has been carried out in …

The World Wide Web such as social networks, forums, review sites and blogs generate
enormous heaps of data in the form of users views, emotions, opinions and arguments about …