Topic modeling: a comprehensive review
Topic modelling is the new revolution in text mining. It is a statistical technique for revealing
the underlying semantic structure in large collection of documents. After analysing …
the underlying semantic structure in large collection of documents. After analysing …
Evaluative language beyond bags of words: Linguistic insights and computational applications
F Benamara, M Taboada, Y Mathieu - Computational Linguistics, 2017 - direct.mit.edu
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
A space-time framework for sentiment scope analysis in social media
The concept of scope was introduced in Social Network Analysis to assess the
authoritativeness and convincing ability of a user toward other users on one or more social …
authoritativeness and convincing ability of a user toward other users on one or more social …
Vibe: Topic-driven temporal adaptation for twitter classification
Language features are evolving in real-world social media, resulting in the deteriorating
performance of text classification in dynamics. To address this challenge, we study temporal …
performance of text classification in dynamics. To address this challenge, we study temporal …
Emotion dynamics of public opinions on twitter
Recently, social media has been considered the fastest medium for information
broadcasting and sharing. Considering the wide range of applications such as viral …
broadcasting and sharing. Considering the wide range of applications such as viral …
[HTML][HTML] Using the COVID-19 pandemic to assess the influence of news affect on online mental health-related search behavior across the United States: integrated …
Background The digital era has ushered in an unprecedented volume of readily accessible
information, including news coverage of current events. Research has shown that the …
information, including news coverage of current events. Research has shown that the …
Latent Dirichlet Allocation-An approach for topic discovery
The digital age has brought about an increased data generation and, therefore, challenges
to process that data. Machine learning and NLP algorithms have enabled smooth data …
to process that data. Machine learning and NLP algorithms have enabled smooth data …
What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets
With the rise of social media platforms, sharing reviews has become a social norm in today's
modern society. People check customer views on social networking sites about different fast …
modern society. People check customer views on social networking sites about different fast …
[HTML][HTML] STracker: A framework for identifying sentiment changes in customer feedbacks
P Puustinen, M Stratigi, K Stefanidis - Information Systems, 2025 - Elsevier
Companies and organizations monitor customer satisfaction by collecting feedback through
Likert scale questions and free-text responses. Freely expressed opinions, not bound to …
Likert scale questions and free-text responses. Freely expressed opinions, not bound to …
On being negative
This paper investigates the pragmatic expressions of negative evaluation (negativity) in two
corpora:(i) comments posted online in response to newspaper opinion articles; and (ii) …
corpora:(i) comments posted online in response to newspaper opinion articles; and (ii) …