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 …
Lexicon-based vs. Bert-based sentiment analysis: A comparative study in Italian
Recent evolutions in the e-commerce market have led to an increasing importance attributed
by consumers to product reviews made by third parties before proceeding to purchase. The …
by consumers to product reviews made by third parties before proceeding to purchase. The …
The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology,
prompt-based classification tasks, eg, sentiment analysis and emotion detection, have …
prompt-based classification tasks, eg, sentiment analysis and emotion detection, have …
Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews
Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …
understanding their performance and improving decision making. Based on aspect-based …
An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …
it is important to understand and ensure the determinants of high-level user satisfaction …
Aspect-level sentiment analysis: A survey of graph convolutional network methods
Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
A survey on pragmatic processing techniques
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …
influence of context on language interpretation, extending beyond the literal meaning of …
BLeafNet: a Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification
Plants, the only natural source of oxygen, are the most important resources for every species
in the world. A proper identification of plants is important for different fields. The observation …
in the world. A proper identification of plants is important for different fields. The observation …
Deriving customer preferences for hotels based on aspect-level sentiment analysis of online reviews
J Zhang, X Lu, D Liu - Electronic Commerce Research and Applications, 2021 - Elsevier
An increasing number of travelers like to share their experience and feelings about hotel
stays through social media, generating a sheer volume of online hotel reviews. The user …
stays through social media, generating a sheer volume of online hotel reviews. The user …