This paper presents an automatic method for finding optimal channels in Brain Computer
Interfaces (BCIs). Detecting the effective channels in BCI systems is an important problem in …

The area of sentiment mining (also called sentiment extraction, opinion mining, opinion
extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last …

Quality prediction plays an essential role in the business outcome of the product. Due to the
business interest of the concept, it has extensively been studied in the last few years …

Advent of social media has created an unprecedented environment for people to share their
thoughts with the world. These online platforms like facebook, Twitter are usually the first …

It is crucial to support community-oriented services for youth awareness in the social media
with knowledge extraction, which would be useful for both government agencies and …

Abstract Background/Objectives: Online review has become important decision support
system for the customers to decide on the subscription or purchse. This paper is aiming to …

There is a lot of scope of sentimental analysis in the field of natural language processing.
Sentiment analysis gives the ability to a programmable system to analyse the sentiment …

This paper applies machine learning (ML) techniques including neural networks, support
vector machines Random Forest, and Adaboost to detecting insider fraud in restaurant point …

Given small profit margins, independently owned and operated restaurants are highly
sensitive to insider fraud and yet have scant resources to combat the problem. This paper is …

With the advancement of social media and its growth, there is a lot of data that can be
presented for research in social mining. Twitter is a microblogging that can be used. In this …