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        <title>Unlocking Emotions in Text: A Fusion of Word Embeddings and Lexical Knowledge for Emotion Classification</title>
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        <namePart type="given">Wasi</namePart>
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    <abstract>This paper introduces an improved method for emotion classification through the integration of emotion lexicons and pre-trained word embeddings. The proposed method utilizes semantically similar features to reconcile the semantic gap between words and emotions. The proposed approach is compared against three baselines for predicting Ekman’s emotions at the document level on the GoEmotions dataset. The effectiveness of the proposed approach is assessed using standard evaluation metrics, which show at least a 5% gain in performance over baselines.</abstract>
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%0 Conference Proceedings
%T Unlocking Emotions in Text: A Fusion of Word Embeddings and Lexical Knowledge for Emotion Classification
%A Anjali, Bhardwaj
%A Nesar Ahmad, Wasi
%A Muhammad, Abulaish
%Y Jyoti, D. Pawar
%Y Sobha, Lalitha Devi
%S Proceedings of the 20th International Conference on Natural Language Processing (ICON)
%D 2023
%8 December
%I NLP Association of India (NLPAI)
%C Goa University, Goa, India
%F anjali-etal-2023-unlocking
%X This paper introduces an improved method for emotion classification through the integration of emotion lexicons and pre-trained word embeddings. The proposed method utilizes semantically similar features to reconcile the semantic gap between words and emotions. The proposed approach is compared against three baselines for predicting Ekman’s emotions at the document level on the GoEmotions dataset. The effectiveness of the proposed approach is assessed using standard evaluation metrics, which show at least a 5% gain in performance over baselines.
%U https://aclanthology.org/2023.icon-1.78
%P 766-772

Markdown (Informal)

[Unlocking Emotions in Text: A Fusion of Word Embeddings and Lexical Knowledge for Emotion Classification](https://aclanthology.org/2023.icon-1.78) (Anjali et al., ICON 2023)

• Unlocking Emotions in Text: A Fusion of Word Embeddings and Lexical Knowledge for Emotion Classification (Anjali et al., ICON 2023)

ACL

• Bhardwaj Anjali, Wasi Nesar Ahmad, and Abulaish Muhammad. 2023. Unlocking Emotions in Text: A Fusion of Word Embeddings and Lexical Knowledge for Emotion Classification. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 766–772, Goa University, Goa, India. NLP Association of India (NLPAI).