Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

With the high availability of computing facilities, a huge amount of data is available in
electronic form. Processing of huge data is required to discover new facts and knowledge …

Preprocessing is an essential task for sentiment analysis since textual information carries a
lot of noisy and unstructured data. Both stemming and stopword removal are pretty popular …

With the increase of e-commerce platforms and online applications, businessmen are
looking to have a rating and review system through which they can easily reveal the feelings …

With the emergence of microblogging platforms and social media applications, large
amounts of user-generated data in the form of comments, reviews, and brief text messages …

Today, people are exchanging their thoughts through online Web forums, blogs, and
different social media platforms. Sometimes, they are giving reviews and opinions on …

As people progressively resort to twitter to express their opinions or to disambiguate their
sentiment, it's feasible to analyze the mass opinion to conclude the polarity of the subject at …

Emotion detection (ED) from noisy or unstructured text data is a challenging and active area
of research in natural language processing as the text contains irrelevant information like …

Stop words are very important for information retrieval and text analysis investigation. This
study aimed to automatically analyzed and detect stop words in texts in Uzbek language …

The dataset presented in this paper aims to address the challenge of automatic extraction of
stop words in Natural Language Processing (NLP) for the low-resource Karakalpak …