4 Nov 2025Open access
Optimizing personalized COVID-19 treatment strategies using finite-horizon MDPPublisher siteDiscover Applied Sciences, Machine Learning in Healthcare
Active, last published 2026
In sentiment analysis and opinion mining
Bouchra El
Akraoui
Scholar“Research focused on Sentiment Analysis and Opinion Mining and adjacent fields.”
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01 · About the work
What I study
ouchra El Akraoui is a researcher working on Sentiment Analysis and Opinion Mining. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Bouchra's work has been cited 16 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Sentiment Analysis and Opinion Mining×4Advanced Text Analysis Techniques×3Topic Modeling×2Reinforcement Learning in Robotics×2Spam and Phishing Detection×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Sultan Moulay Slimane, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works30 Aug 2025
Effective summarization of ChatGPT user feedback: integrating topic detection with Markov chainsPublisher siteCluster Computing, Topic Modeling
1 Jan 2025
Fuzzy-DistilBERT: A Novel Framework for Opinion Mining Using Fuzzified Input FeaturesPublisher siteLecture notes in networks and systems, Sentiment Analysis and Opinion Mining
25 Jul 2024Open access1cites
Effective Summarization of ChatGPT User Feedback: Integrating Topic Detection with Markov ChainsPublisher siteResearch Square, Advanced Text Analysis Techniques
11 Jul 2024Open access
Dynamic Residual Bandwidth Distribution Based on Adaptive Chaotic Q-Learning for Low-Latency Communications in IoT GatewaysPublisher siteResearch Square, Machine Learning and ELM
1 Jun 2023Open access3cites
Solving Finite-Horizon Discounted Non-Stationary MDPSPublisher siteFolia Oeconomica Stetinensia, Reinforcement Learning in Robotics
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