Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …

In recent years, some methods of sentiment analysis have been developed for the health
domain; however, the diabetes domain has not been explored yet. In addition, there is a lack …

By embedding prior knowledge into the learning structure, this paper presents a two-step
semi-supervised learning method called fuzzy deep belief networks (FDBN) for sentiment …

With the growing availability and popularity of sentiment-rich resources like blogs and online
reviews, new opportunities and challenges have emerged regarding the identification …

Financial news plays a significant role with regard to predicting the behaviour of financial
markets. However, the exponential growth of financial news on the Web has led to a need …

Related research for sentiment analysis on Chinese microblog is aiming at the analysis
procedure of posts. The length of short microblog text limits feature extraction of microblog …

This article has multiple objectives. First of all, the fundamental concepts and challenges of
the research field known as Sentiment Analysis (SA) are presented. Secondly, a summary of …

Learning distributed word representations has been a popular method for various natural
language processing applications such as word analogy and similarity, document …

Social media has recently become a rich resource in mining user sentiments. In this paper,
Twitter has been chosen as a platform for opinion mining in trading strategy with Mubasher …