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 …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
T-frex: A transformer-based feature extraction method from mobile app reviews
Mobile app reviews are a large-scale data source for software-related knowledge
generation activities, including software maintenance, evolution and feedback analysis …
generation activities, including software maintenance, evolution and feedback analysis …
A comprehensive review of visual–textual sentiment analysis from social media networks
IKS Al-Tameemi, MR Feizi-Derakhshi… - … of Computational Social …, 2024 - Springer
Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …
platform for their ideas, opinions and emotions. Consequently, automated sentiment …
Public sentiment toward renewable energy in Morocco: opinion mining using a rule-based approach
Morocco's goal is to reach 52% of the energy mix by 2030. However, Moroccans'
acceptance and support for renewable energy are important to accelerate renewable …
acceptance and support for renewable energy are important to accelerate renewable …
[PDF][PDF] Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach
Arabic's complex morphology, orthography, and dialects make sentiment analysis difficult.
This activity makes it harder to extract text attributes from short conversations to evaluate …
This activity makes it harder to extract text attributes from short conversations to evaluate …
Refining word embeddings with sentiment information for sentiment analysis
Natural Language Processing problems generally require the use of pretrained distributed
word representations to be solved with deep learning models. However, distributed …
word representations to be solved with deep learning models. However, distributed …
Leveraging large language models for mobile app review feature extraction
Mobile app review analysis presents unique challenges due to the low quality, subjective
bias, and noisy content of user-generated documents. Extracting features from these reviews …
bias, and noisy content of user-generated documents. Extracting features from these reviews …
Extracting feature requests from online reviews of travel industry.
S Kumari, Z Ali - Acta Scientiarum: Technology, 2022 - search.ebscohost.com
Abstract Before product development, Requirement Engineering (RE) is the fundamental
need to know customer preferences for any product. Traditionally, RE is carried out in …
need to know customer preferences for any product. Traditionally, RE is carried out in …
Word2Sent: A new learning sentiment‐embedding model with low dimension for sentence level sentiment classification
Word embedding models become an increasingly important method that embeds words into
a high dimensional space. These models have been widely utilized to extract semantic and …
a high dimensional space. These models have been widely utilized to extract semantic and …