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- review-articleOctober 2024
Synergizing machine learning & symbolic methods: A survey on hybrid approaches to natural language processing
Expert Systems with Applications: An International Journal (EXWA), Volume 251, Issue Chttps://doi.org/10.1016/j.eswa.2024.124097AbstractThe advancement of machine learning and symbolic approaches have underscored their strengths and weaknesses in Natural Language Processing (NLP). While machine learning approaches are powerful in identifying patterns in data, they often fall ...
Highlights- Review of hybridization of machine learning and symbolic methods for NLP.
- Taxonomy of NLP tasks with substantial use of hybrid approaches.
- Overview of state-of-the-art hybrid approaches for NLU, NLG, and NLR tasks.
- Open ...
- research-articleJuly 2022
Topic-based influential user detection: a survey
Applied Intelligence (KLU-APIN), Volume 53, Issue 5Pages 5998–6024https://doi.org/10.1007/s10489-022-03831-7AbstractOnline Social networks have become an easy means of communication for users to share their opinion on various topics, including breaking news, public events, and products. The content posted by a user can influence or affect other users, and the ...
- research-articleJune 2021
Emotion-Aware Event Summarization in Microblogs
WWW '21: Companion Proceedings of the Web Conference 2021Pages 486–494https://doi.org/10.1145/3442442.3452311Microblogs have become the preferred means of communication for people to share information and feelings, especially for fast evolving events. Understanding the emotional reactions of people allows decision makers to formulate policies that are likely ...
- masters_thesisJanuary 2021
Emotion-Aware Event Summarization in Microblogs
AbstractOne aspect of crisis management involves the ability to understand the emotional reactions of people to adjust the response strategies. Uncovering the topics and emotions related to an event over time is critical for timely intervention. For fast-...
- short-paperJuly 2017
Eatery: A Multi-Aspect Restaurant Rating System
- Rrubaa Panchendrarajan,
- Nazick Ahamed,
- Prakhash Sivakumar,
- Brunthavan Murugaiah,
- Surangika Ranathunga,
- Akila Pemasiri
HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social MediaPages 225–234https://doi.org/10.1145/3078714.3078737This paper presents Eatery, a multi-aspect restaurant rating system that identifies rating values for different aspects of a restaurant by means of aspect-level sentiment analysis. Eatery uses a hierarchical taxonomy that represents relationships ...