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 review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …
diverse fields such as business, social media, healthcare, and disaster response. This …
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 …
A topic modeled unsupervised approach to single document extractive text summarization
Abstract Automatic Text Summarization (ATS) is an essential field in natural language
processing that attempts to condense large text documents so that users can assimilate …
processing that attempts to condense large text documents so that users can assimilate …
Sentiment analysis on IMDb movie reviews using hybrid feature extraction method
Social Networking sites have become popular and common places for sharing wide range of
emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc …
emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
[图书][B] Social data analytics
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis
User-generated content (UGC) contains customer opinions which can be used to hear the
voice of customers. This information can be useful in market surveillance, digital innovation …
voice of customers. This information can be useful in market surveillance, digital innovation …
Sarcasm detection using cognitive features of visual data by learning model
BN Hiremath, MM Patil - Expert Systems with Applications, 2021 - Elsevier
The objective of the paper is to detect sarcasm in human communication. The methodology
uses basic cognitive features of human utterances by capturing three modes of data viz …
uses basic cognitive features of human utterances by capturing three modes of data viz …
Realization of natural language processing and machine learning approaches for text‐based sentiment analysis
K Naithani, YP Raiwani - Expert Systems, 2023 - Wiley Online Library
The leading intention of the current paper is to review the research work accomplished by
various researchers to achieve sentiment analysis on the text and to elaborate on natural …
various researchers to achieve sentiment analysis on the text and to elaborate on natural …