A review on sentiment analysis and emotion detection from text
P Nandwani, R Verma - Social network analysis and mining, 2021 - Springer
Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …
the entire world due to rapid expansion in the Internet era. Several people use textual …
A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
[HTML][HTML] A machine learning approach in analysing the effect of hyperboles using negative sentiment tweets for sarcasm detection
V Govindan, V Balakrishnan - Journal of King Saud University-Computer …, 2022 - Elsevier
This paper investigates negative sentiment tweets with the presence of hyperboles for
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …
Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …
is becoming increasingly significant in this modern world. However, accurately predicting …
Sentiment analysis of tweets using a unified convolutional neural network‐long short‐term memory network model
Sentiment analysis focuses on identifying and classifying the sentiments expressed in text
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
Smart city applications to promote citizen participation in city management and governance: A systematic review
D Bastos, A Fernández-Caballero, A Pereira… - Informatics, 2022 - mdpi.com
This systematic review aimed to provide a comprehensive view of (1) the purposes of
research studies using smart city infrastructures to promote citizen participation in the cities' …
research studies using smart city infrastructures to promote citizen participation in the cities' …
A systematic review on implicit and explicit aspect extraction in sentiment analysis
Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in
natural language processing (NLP). Individuals, private and government institutions are …
natural language processing (NLP). Individuals, private and government institutions are …
An efficient sentiment analysis methodology based on long short-term memory networks
Sentiment analysis is the process of determining the sentiment polarity (positivity, neutrality
or negativity) of the text. As online markets have become more popular over the past …
or negativity) of the text. As online markets have become more popular over the past …
Unsupervised semantic approach of aspect-based sentiment analysis for large-scale user reviews
Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to
its extensive applications. Most of the existing ABSA methods been applied on small-sized …
its extensive applications. Most of the existing ABSA methods been applied on small-sized …