Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …

The rise of social media is enabling people to freely express their opinions about products
and services. The aim of sentiment analysis is to automatically determine subject's sentiment …

An integrated deep learning paradigm for the analysis of document-based sentiments is
presented in this article. Generally, sentiment analysis has enormous applications in the real …

Sentiment analysis (SA) of natural language text is an important and challenging task for
many applications of Natural Language Processing. Till now, researchers have used …

With the huge expansion of text data sentiment analysis is playing a crucial role in analyzing
the user's perspective about a particular product, company or any other physical or virtual …

Deep learning has made a great breakthrough in the field of speech and image recognition.
Mature deep learning neural network has completely changed the field of nat ural language …

Most existing studies are focused on popular languages like English, Spanish, Chinese,
Japanese, and others, however, limited attention has been paid to Urdu despite having …

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 …

Social Networking sites have become popular and common places for sharing wide range of
emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc …

Sentiment analysis is the area which deals with judgments, responses as well as feelings,
which is generated from texts, being extensively used in fields like data mining, web mining …