With the rapid increase in the use of the Internet, sentiment analysis has become one of the
most popular fields of natural language processing (NLP). Using sentiment analysis, the …

Election polls are the de facto mechanisms to predict political outcomes. Traditionally, they
are conducted with personal interviews and questionnaires. This process is costly and time …

Nowadays, Sentiment Analysis has become an active research area due to the availability of
many opinionated data through increased activity in Blogging, Tagging, Podcasting, social …

Twitter as a social media widely used by the public at this time. Public opinion divided into
two sentiments, namely positive or negative sentiments. Public opinion on social media …

Predicting election outcomes is a crucial undertaking, and various methods are employed
for this purpose, such as traditional opinion polling, and social media analysis. However …

Social media usage has increased to an all-time high level in today's digital world. The
majority of the population uses social media tools (like Twitter, Facebook, and YouTube) to …

In recent years, multi-label emotions of user tweets have beenexplored to identify user
opinion, sentiment, stance, and preferences. Many studies and datasets are available to …

Sentiment analysis has quickly become one of the most prominent fields of natural language
processing due to the spectacular increase in Internet usage (NLP). For a variety of …

Data mining is a critical issue of data extraction and data analysis. Data mining has given
answers to numerous fields which include authorities' data structures additionally. As the era …

This work carries out the sentiment analysis of the social network Twitter regarding the
presidential debate on May 23, where a hashtag was left open so viewers could give their …