Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …

Analyzing explicit and clear sentiment is challenging owing to the growing use of
emblematic and multilingual language constructs. This research proposes sarcasm …

Sentiment Analysis (SA) has been a core interest in the field of text mining research, dealing
with computational processing of sentiments, views, and subjective nature of the text. Due to …

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 …

In recent years, due to the availability of voluminous data on web for Indian languages, it has
become an important task to analyze this data to retrieve useful information. Because of the …

Sentiment analysis is considered to be a category of machine learning and natural language
processing. It is used to extricate, recognize, or portray opinions from different content …

Sentiment analysis has become an important tool for e-commerce giant to capture user
sentiment towards their product and to exploit such analysis to attract user for buying …

Sentiment analysis is a branch of natural language processing, or machine learning
methods. It becomes one of the most important sources in decision making. It can extract …

Due to the phenomenal growth of online product reviews, sentiment analysis (SA) has
gained huge attention, for example, by online service providers. A number of benchmark …

Linguistic resources for commonly used languages such as English and Mandarin Chinese
are available in abundance, hence the existing research in these languages. However …