Topic modeling: a comprehensive review

P Kherwa, P Bansal - EAI Endorsed transactions on scalable information …, 2019 - eudl.eu
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 …

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 …

A space-time framework for sentiment scope analysis in social media

G Bonifazi, F Cauteruccio, E Corradini… - Big Data and Cognitive …, 2022 - mdpi.com
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 …

Vibe: Topic-driven temporal adaptation for twitter classification

Y Zhang, J Li, W Li - arxiv preprint arxiv:2310.10191, 2023 - arxiv.org
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 …

Emotion dynamics of public opinions on twitter

D Naskar, SR Singh, D Kumar, S Nandi… - ACM Transactions on …, 2020 - dl.acm.org
Recently, social media has been considered the fastest medium for information
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 …

D Lekkas, JA Gyorda, GD Price, Z Wortzman… - Journal of Medical …, 2022 - jmir.org
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 …

Latent Dirichlet Allocation-An approach for topic discovery

A Goyal, I Kashyap - … on Machine Learning, Big Data, Cloud …, 2022 - ieeexplore.ieee.org
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 …

What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets

M Mujahid, F Rustam, F Alasim, MA Siddique… - PeerJ Computer …, 2023 - peerj.com
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 …

[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 …

On being negative

M Taboada, R Trnavac, C Goddard - Corpus Pragmatics, 2017 - Springer
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) …