A comprehensive survey for sentiment analysis tasks using machine learning techniques

Sentiment Analysis Using Deep Learning Techniques: A Review

“…Techniques are being used to decrease the errors in sentiment analysis to attain higher level of precision in data for social media. [5] 2) Sentiment Analysis as multidisciplinary Field: The sentiment analysis is multidisciplinary field, because it includes numerous fields such as computational linguistics, information retrieval, semantics, natural language processing, artificial intelligence and machine learning [6]. The classification for the approaches of sentiment analysis can be done in three extraction levels a) feature or aspect level; b) document level; and c) sentence level [5].…”

“…This approach is capable of automation and can handle huge amount of data therefore these are very suitable for sentiment analysis. [6].…”

A Survey on Sentiment Analysis

“…In this technique, the components of a given content are compared against word lexicons whose sentiment values are chosen prior to their use [1,3] . Hierarchical clustering and partial clustering are mostly utilized algorithms of unsupervised technique.…”

“…Sentiment analysis used in the movie review, product review, politics, public sentiment and social sites useful for people"s opinion. [1,2,3,4] Shown in the table there are various application of sentiment analysis in movie review by this user can get information about movie is good or bad or average by their star scale rating if movie is five stare we can predict that movie will be good if three star it will average review of movie. [2] From the product review user can identify that product is good, excellent, average, and poor with the public opinion by their rating.…”

“…[1] Sentiment analysis is field of study that investigation of individuals assessment, estimations, disposition and emotions towards entities for example items, services organizations individual events issues, subjects and their attributes. [3] …”