Social Media has become an ultimate driver of social change in the global society.
Implications of the events, that take place in one corner of the word, reverberate across the …

Sentiment Analysis (SA) employing code-mixed data from social media helps in getting
insights to the data and decision making for various applications. One such application is to …

Soft clustering is able to handle overlapping data thanks to membership functions that allow
examples to belong to several clusters. However, the formula linking membership functions …

Investments in the stock market have grown in Brazil in recent years, especially considering
the individual number of investors. According to data from April 2020, the Brazilian stock …

Purpose This paper aims to present a new term weighting approach for text classification as
a text mining task. The original method, neutrosophic term frequency–inverse term …

The rapid growth of internet and mobile technology has accelerated the spread of Hate
Speech and Offensive Content (HASOC) to a larger extent. Identifying HASOC is a real …

The representation of the information has an important impact on the text classification task.
Several weighting methods were proposed in the literature, and the term frequency-inverse …

False information or fake news has the potential to mislead the public, damage the social
order, undermine government legitimacy, and pose a major threat to societal stability. Fake …

Latent semantic analysis (LSA) and correspondence analysis (CA) are two techniques that
use a singular value decomposition for dimensionality reduction. LSA has been extensively …

In the past decade, the fuzzy inference system (FIS) has seen explosive growth in popularity
among the researchers and industrialists. The fuzzy classification system is based on the …