Recently, researchers have become increasingly curious about using machine learning
algorithms to solve complex real-world problems. Machine learning algorithms can be …

Aims: The proposed research work is on an evolutionary enhanced method for sentiment or
emotion classification on unstructured review text in the big data field. The sentiment …

With the evolution of web technology, there is a huge amount of data present in the web for
the internet users. These users not only use the available resources in the web, but also give …

With the massive development of Internet technologies and e-commerce technology, people
rely on the product reviews provided by users through web. Sentiment analysis of online …

High dimensionality in data sets is one of the challenges faced in classification, data mining,
and sentiment analysis. In the data set, many dimensionalities require effort to simplify. Many …

Nowadays users of social networks are very much interested in expressing their opinions
about different sorts of products or services in social media which leads to the growth of user …

Sentiment analysis is an area of natural language processing (NLP) and machine learning
where the text is to be categorized into predefined classes ie positive and negative. As the …

With the ever increasing social networking and online marketing sites, the reviews and blogs
obtained from those, act as an important source for further analysis and improved decision …

The study of opinions conveyed in a text format is examined using sentiment analysis.
Analyzing the sentiment plays a fundamental part in the sentiment orientation of reviews and …

The amount of information readily accessible has increased dramatically due to the
popularization and evolution of the Internet. It has become the main platform to express …