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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 survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
Topic modelling for qualitative studies
SI Nikolenko, S Koltcov… - Journal of Information …, 2017 - journals.sagepub.com
Qualitative studies, such as sociological research, opinion analysis and media studies, can
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …
Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews
N Punetha, G Jain - Applied Intelligence, 2023 - Springer
Sentiment Analysis is a method to identify, extract, and quantify people's feelings, opinions,
or attitudes. The wealth of online data motivates organizations to keep tabs on customers' …
or attitudes. The wealth of online data motivates organizations to keep tabs on customers' …
W2VLDA: almost unsupervised system for aspect based sentiment analysis
With the increase of online customer opinions in specialised websites and social networks,
automatic systems to help organise and classify customer reviews by domain-specific aspect …
automatic systems to help organise and classify customer reviews by domain-specific aspect …
Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
B Zhao, Y Zhong, GS ** of opinion mining and sentiment analysis research during 2000–2015
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
Aspect based fine-grained sentiment analysis for online reviews
Fine-grained sentiment analysis for online reviews plays more and more important role in
many applications. The key techniques here are how to efficiently extract multi-grained …
many applications. The key techniques here are how to efficiently extract multi-grained …
Exploring bikesharing travel patterns and trip purposes using smart card data and online point of interests
The primary objective of this study was to investigate the bikesharing travel patterns and trip
purposes by combining smart card data and online point of interests (POIs). A large-scale …
purposes by combining smart card data and online point of interests (POIs). A large-scale …
Bayesian game model based unsupervised sentiment analysis of product reviews
N Punetha, G Jain - Expert Systems with Applications, 2023 - Elsevier
Sentiment Analysis is a task of computationally recognizing and contextualizing opinions
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …