With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

Now a day's internet is the most valuable source of learning, getting ideas, reviews for a
product or a service. Everyday millions of reviews are generated in the internet about a …

With accelerated evolution of the internet as websites, social networks, blogs, online portals,
reviews, opinions, recommendations, ratings, and feedback are generated by writers. This …

Digital resources such as smart applications reviews and online feedback information are
important sources to seek customers' feedback and input. This paper aims to help …

Social media hold valuable, vast and unstructured information on public opinion that can be
utilized to improve products and services. The automatic analysis of such data, however …

Extracting content from diversified web resources, cleaning up the raw data, preparing them
for the statistical analysis and actually performing the analysis it is far from being a simple …

Most studies analyzing political traffic on Social Networks focus on a single platform, while
campaigns and reactions to political events produce interactions across different social …

The volume of data which is freely available on the Internet in the field of e-marketing is
constantly increasing. Much of this data concerns consumers' perceptions and opinions of …

Sentiment analysis of people's opinion is used in a lot of business and decision-making
scenarios. Although social media is an informal medium in which to express one's opinions …

We capture the public sentiment towards candidates in the 2020 US Presidential Elections,
by analyzing 7.6 million tweets sent out between October 31st and November 9th, 2020. We …