Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Online media has an increasing presence on the restaurants' activities through social media
websites, coinciding with an increase in customers' reviews of these restaurants. These …

Sentiment analysis (SA) is a subset of natural language processing (NLP) research. In the
case of categorical weighted based dictionary with rule-based sentiment score generation …

This paper proposes a novel hybrid model for sentiment analysis. The model leverages the
strengths of both the Transformer model, represented by the Robustly Optimized BERT …

Sentiment Analysis is a task of computationally recognizing and contextualizing opinions
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …

Sentiment analysis is a natural language processing method used to assess data's positivity,
negativity, and neutrality. Several techniques were suggested as ways to solve the …

Sentiment Analysis is a method to identify, extract, and quantify people's feelings, opinions,
or attitudes. The wealth of online data motivates organizations to keep tabs on customers' …

" Voice of the customer" is an extraordinary source for getting customer reviews and
provides huge awareness into customer's preferences towards a product or service. In an e …

In this modern age, people are dependent on the internet. They prefer to order food online or
Food App rather than the restaurant. They are giving various reviews online about the foods …