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2022 ACL ACL 2022

SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis

Abstract

AbstractIn this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations. Currently, models have been trained for five domains and one general domain and are implemented in a pipeline approach, where the output of one model serves as the input for the next. The results are presented in three dashboards, allowing companies to gain more insights into what stakeholders think of their products and services. The SentEMO platform is available at https://sentemo.ugent.be

🌉 Interdisciplinary Bridge — Artificial Intelligence and Natural Language Processing
🧭 Keyword Pioneer — sentiment analysis pipeline
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Ellen De Geyndt , Orphee De Clercq , Cynthia Van Hee , Els Lefever , Pranaydeep Singh , Olivier Parent , Véronique Hoste

Topics

Natural Language Processing > Understanding > Sentiment Analysis Natural Language Processing > Applications > Text Classification Natural Language Processing > Applications > Sentiment Analysis Natural Language Processing > Applications > Text Generation Artificial Intelligence > Core AI > Natural Language Processing Natural Language Processing > Applications > Emotion Detection

Keywords

sentiment analysis opinion mining multilingual nlp text analysis emotion detection aspect-based sentiment analysis aspect-based sentiment sentiment analysis pipeline customer care conversation
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