Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …

Trade relationships contribute greatly to energy security and trade efficiency, which are
increasing vital in energy trade. Thus, trade relationships are worthy of further investigation …

Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Twitter sentiment analysis offers organizations ability to monitor public feeling towards the
products and events related to them in real time. The first step of the sentiment analysis is …

Sentiment analysis on social media such as Twitter has become a very important and
challenging task. Due to the characteristics of such data—tweet length, spelling errors …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

Remanufactured products have emerged as an important option for achieving sustainable
development, which is crucial to the success of the circular economy. Consequently, it is …

Short text sentiment analysis is challenging because short texts are limited in length and
lack context. Short texts are usually rather ambiguous because of polysemy and the typos …

The form of communication on Facebook is not only limited to posting and commenting, but
also includes sharing, liking and reacting. This study looks into how a Facebook diabetes …

An immense amount of data is available with the advent of social media in the last decade.
This data can be used for sentiment analysis and decision making. The data present on …