There are many data sources that produce large volumes of data. The Big Data nature
requires new distributed processing approaches to extract the valuable information. Real …

Digital information is continuously generated from various sources such as social media,
user reviews for services. The processing of this written information to extract user opinions …

Sentiment analysis is becoming increasing important with the rise in the amount of content
on social media. However, sentiment analysis remains challenging for under-resourced …

Lexical resources such as dictionaries and thesauri are crucial for solving various tasks in
the field of natural language processing (NLP). This paper presents the development and …

This study explores the enhancement of accuracy in Indonesian sentiment analysis by
incorporating text segmentation features during the pre-processing phase. One of the most …

In today's scenarios, online marketing and social networking require sentiment for opinion
mining to understand its customers and users. The sentiment analysis involves extracting …

This article presents an annotated corpus of Turkish comment texts gathered from
employees. Special attention is given to neutrality of paragraphs in the corpus and quality of …

Object acquisition and selection are two important functions performed in most of the human
computer interaction systems. Various techniques are devised by the researchers to perform …

This paper explores the use of Naive Bayes as well a Linear Support Vector Machines in
order to classify a text based on the level of medical emergency. The primary source of …