Continuously increasing data bring new problems and problems usually reveal new
research areas. One of the new areas is Sentiment Analysis. This field has some difficulties …

The amount of textual data generation has increased enormously due to the effortless
access of the Internet and the evolution of various web 2.0 applications. These textual data …

Sentiment analysis, which involves analyzing text data and using language computation to
extract valuable information, is a significant focus in Natural Language Processing (NLP). It …

Thanks to social media, people are now able to leave guiding comments quickly about their
favorite restaurants, movies, etc. This has paved the way for the field of sentiment analysis …

Customer satisfaction and their positive sentiments are some of the various goals for
successful companies. However, analyzing customer reviews to predict accurate sentiments …

Sentiment analysis is a classification procedure where we apply machine learning and deep
learning algorithms to analyze the sentiment of the dataset, which consists of text, eg, a …

Sentiment Analysis is a branch of Natural Language Processing which intends to identify the
sentiment in the data being analyzed through polarity analysis and emotion analysis. It can …

Recently, online buyers have been able to express their opinions about a variety of
products, restaurants and services by writing online reviews. Opinions have subsequently …

In the last few years, Sentiment Analysis regarding customers' reviews in order to
comprehend the opinion polarity on social media has received considerable attention …

Due to the abundance of text data representing public opinion, the Sentiment Analysis study
is getting more and more important. Various techniques and methods have been proposed …