Sentiment analysis using deep learning architectures: a review
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …
in the form of opinions and views about any topic or article, which results in an enormous …
Sentiment analysis using text mining: a review
Text mining and sentiment analysis have received huge attention recently, specially
because of the availability of vast data in form of text available on social media, e-commerce …
because of the availability of vast data in form of text available on social media, e-commerce …
Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India
Abstract Aspect-Based Sentiment Analysis (ABSA) is a popular scheme that looks for the
prediction of the sentiment of positive characteristics in text. The sentiment of text sequences …
prediction of the sentiment of positive characteristics in text. The sentiment of text sequences …
[PDF][PDF] Multi-lingual Twitter sentiment analysis using machine learning
Twitter Sentiment Analysis is one of the leading research fields nowadays. Most of the
researchers have contributed to the research in twitter sentiment analysis in English tweets …
researchers have contributed to the research in twitter sentiment analysis in English tweets …
SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
Ş Kayıkçı - Multimedia tools and applications, 2022 - Springer
Sentiment analysis is one of the efficient models for extracting opinion mining with
identification and classification from unstructured text data such as product reviews or …
identification and classification from unstructured text data such as product reviews or …
Survey paper: sentiment analysis for major government decisions
T Anand, V Singh, B Bali, BM Sahoo… - 2020 International …, 2020 - ieeexplore.ieee.org
On internet, there are plenty of social networking sites on which people express their
perception regarding a topic every day which can be helpful for sentiment analysis. In this …
perception regarding a topic every day which can be helpful for sentiment analysis. In this …
[PDF][PDF] Sentimental analysis on social media data using R programming
MG Bhargava, DR Rao - International Journal of Engineering & …, 2018 - researchgate.net
Sentimental Analysis is an ongoing research field in Text Mining Arena to determine the
situation of market on particular entity such as Product, Services... Etc. and it can be called …
situation of market on particular entity such as Product, Services... Etc. and it can be called …
Gauging opinions about the COVID-19: a multi-channel social media approach
Social media has been engulfed with one burning epidemic–the Coronavirus impacting both
the society and businesses. This study examines the impact of social media opinions …
the society and businesses. This study examines the impact of social media opinions …
Twitter sentiment analysis on airline tweets in India using R language
I Sreeja, JV Sunny, L Jatian - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Every day, passengers from all parts of the world are carried over to various destinations in
about 100,000 flights. And their experience in the journey is almost unknown to the airlines …
about 100,000 flights. And their experience in the journey is almost unknown to the airlines …
[PDF][PDF] Sentiment analysis of movies on social media using R studio
This paper presents sentiment analysis of twitter data on movies using R-studio. Twitter is
one of the largest social media that shares user opinion about a thing or event that happens …
one of the largest social media that shares user opinion about a thing or event that happens …