A review of hybrid and ensemble in deep learning for natural language processing
This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …
models within Natural Language Processing (NLP), shedding light on their transformative …
Sentiment analysis using deep learning approaches: an overview
Nowadays, with the increasing number of Web 2.0 tools, users generate huge amounts of
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …
increasingly used to share news and opinions about it. A realistic assessment of the …
Sentiment analysis and topic modeling on tweets about online education during COVID-19
Amid the worldwide COVID-19 pandemic lockdowns, the closure of educational institutes
leads to an unprecedented rise in online learning. For limiting the impact of COVID-19 and …
leads to an unprecedented rise in online learning. For limiting the impact of COVID-19 and …
A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets
With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each
country to make arrangements to control the population and utilize the available resources …
country to make arrangements to control the population and utilize the available resources …
Sentiment analysis: A survey on design framework, applications and future scopes
M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
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 …
minute sentimental details regarding any topic or context from a voluminous source of data …
Comparison of Naive Bayes and SVM Algorithm based on sentiment analysis using review dataset
AM Rahat, A Kahir, AKM Masum - 2019 8th International …, 2019 - ieeexplore.ieee.org
Now a day's sentiment analysis is the most used research topic. The sentiment analysis
result is based on different investigation for example politics, terrorism, economy …
result is based on different investigation for example politics, terrorism, economy …
Hybrid sentiment classification on twitter aspect-based sentiment analysis
Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have
become major social media attractions today. The huge amount of information from this …
become major social media attractions today. The huge amount of information from this …
A comparative study of support vector machine and Naive Bayes classifier for sentiment analysis on Amazon product reviews
This paper represents a comparison between two machine learning approaches for
analyzing the sentiment of the customers' reviews on Amazon products. Eventually, reviews …
analyzing the sentiment of the customers' reviews on Amazon products. Eventually, reviews …
An empirical case study on Indian consumers' sentiment towards electric vehicles: A big data analytics approach
R Jena - Industrial Marketing Management, 2020 - Elsevier
Today, climate change due to global warming is a significant concern to all of us. India's rate
of greenhouse gas emissions is increasing day by day, placing India in the top ten emitters …
of greenhouse gas emissions is increasing day by day, placing India in the top ten emitters …