A análise de sentimentos é um campo de estudo com recente popularização devido ao
crescimento da Internet e do conteúdo que é gerado por seus usuários, principalmente nas …

Обсуждаются вопросы, связанные с автоматическим выявлением в текстах социальных
сетей проявлений вербальной агрессивности. Проблема выраженности вербальной …

This paper consists of a study in the field of semi-supervised learning and implements
changes on the self-training algorithm in order to propose a variation in the rate of inclusion …

For the last decade or so, sentiment analysis, which aims to automatically identify opinions,
polarities, or emotions from user‐generated content (eg, blogs, tweets), has attracted interest …

There are plenty of unlabeled data in different domains, and effective ways that apply
machine learning techniques are in dire need to be found for the ability to use them …

In this paper, learning social networks from incomplete relationship data is proposed. Link
prediction is addressed as a semi-supervised learning problem where the task is to predict a …

Sentiment analysis has become one of the fundamental research areas with an objective of
estimating the polarity of text documents. While sentiment analysis requires rich training …

This paper discusses the problems that deal with the automatic revelation of manifestations
of verbal aggressiveness in social-network texts. The problem of evidence of verbal …

Nowadays, a huge amount of information flows daily on public and private computer
networks. Since sensitive information has a high probability of being transmitted, there is an …

(IPT-CV) and Incremental Serial Training (IST). The proposed semi supervised learning
methods employ supervised classifiers and different views of the datasets for labeling …