Reviews expressed in e-commerce websites have formed an important source of
information for both consumers and enterprises. Text sentiment analysis approaches aim to …

Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks
a clear and shared definition, and causes a lack of clarity and understanding about its …

Subjectivity classification aims to discriminate whether the given text presents opinions or
states facts, which is an important foundation and component of sentiment analysis task. The …

Due to increase in competition, social media is playing a big role in increasing the potential
customers for many organizations. Sentiment analysis is an important tool for analyzing the …

The recent years have witnessed a significant growth in the data collected from the reviews
posted on various websites. Reviews are a direct way of getting the response of the …

In Web 2.0, people are free to share their experiences, views, and opinions. One of the
problems that arises in web 2.0 is the sentiment analysis of texts produced by users in …

In this paper, a novel approach for discovering emerging patterns has been proposed.
Majority of the existing algorithms for the discovery of emerging patterns are tree-based …

This dissertation researched topics in the financial analysis of publicly traded companies.
The opportunity for this dissertation was to address the potential of increasing value for …

Twitter is one of the most influencing microblogging platforms in the revolutionary era of
social media. Tweets, short messages posted by the user to interact with the social world …

Web 2.0 has empowered people to voice their opinions, share their familiarities and views
on various products, events, services, etc. Nowadays, people are turning toward social …