In the digital age, social media has emerged as a significant platform, generating a vast
amount of raw data daily. This data reflects the opinions of individuals from diverse …

Sentiment analysis uses data mining methods to extract information and data from the web
through natural language processing. This consists of emotion artificial intelligent and text …

Sentiment analysis is considered as one of the most essential tasks in the field of natural
language processing and cognitive science. In order to enhance the performance of …

One-on-one interviews and manual analysis of their transcripts is the most common way
researchers get into depth to obtain detailed insights. These insights are highly subjective …

Humans are prepared to comprehend each other's emotions through subtle body
movements and speech expressions, and from those, they change the way they …

Now-a-days, social media platforms enable people to continuously express their opinions
and thoughts about different topics. Monitoring and analyzing the sentiments of people is …

Sentimental analysis aims at identifying the opinions of various users. This paper presents
my research work on the application of sentimental analysis on book reviews. I have applied …

Sentiment analysis has been applied to the datasets collected from social networking
websites to get valuable insights. The exemplary growth of social networking has attracted …

With the rapid increase of the number of Internet users and the amount of online comment
data, a large number of referable information samples are provided for data mining …

In this paper, we propose a semi-supervised method to cluster unstructured textual data
called semi-supervised sentiment clustering on natural language texts. The aim is to identify …