Currently, a plethora of industrial and academic sentiment analysis methods for classifying
the opinion polarity of a text are available and ready to use. However, each of those …

With the increasing emergence of social network applications, people now use social media
to share their opinions on daily issues and analyse people's interactions and reactions …

The consistency of user satisfaction on mobile application has been more competitive
because of the rapid growth of multi-featured applications. The analysis of user reviews or …

Extracting textual features from tweets is a challenging task due to the noisy nature of the
content and the weak signal of most of the words used. In this paper, we propose using …

Mobile apps have penetrated the market and are being used everywhere. Companies
developing apps face increasing challenges such as short time to market or demand for high …

The Twitter platform is one of the most popular social media environments that gathers
concise messages regarding the topics of the moment expressed by its users. Processing …

Target market classification is aimed at focusing marketing activities on the right targets.
Classification of target markets can be done through data mining and by utilizing data from …

Nowadays, the internet has become an essential part of the current scenario. Due to the
rapid expansion of the social network industry, people are using its platforms to share their …

This paper describes an intelligent sentiment analyzer incorporating linguistic knowledge.
Our proposed method comprises three stages i) corpus construction, ii) classification using …

The technology underlying automatic scoring is still in its infancy. The study's primary goal is
to provide a new method that can be utilized for computerized response grading. Research …