Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …

Abstract Concept-based sentiment analysis (CBSA) methods have gained prominence in
natural language processing in recent years. These methods consider the underlying …

Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …

Sentiment analysis has gained a lot of attention from researchers in the last year because it
has been widely applied to a variety of application domains such as business, government …

In hierarchical clustering, the most important factor is the selection of the linkage method
which is the decision of how the distances between clusters will be calculated. It extremely …

Electricity, a fundamental commodity, must be generated as per required utilization which
cannot be stored at large scales. The production cost heavily depends upon the source such …

Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …

The exponential rise in social media via microblogging sites like Twitter has sparked
curiosity in sentiment analysis that exploits user feedback towards a targeted product or …

Sentiment analysis using stemmed Twitter data from various languages is an emerging
research topic. In this paper, we address three data augmentation techniques namely Shift …