Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{149734,
        author = {Sajitha N},
        title = {Automatic Emotion Detection from Unstructured/Semi structured Text},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {578-580},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149734},
        abstract = {Automatic emotion detection is a process of detecting emotions from facial expressions, text or audio clips. Collecting and labeling such data is a difficult process and time consuming. This paper proposes detecting emotions from text documents using the Naïve Bayes classifier. Detecting emotions from text can be a used a useful tool in psychological counseling. Different methods are used to detect emotions using signal processing, AI, text processing and Bayesian network. Emotion detection from text is from the written text or speech text.},
        keywords = {Emotion detection, Text detection, Sentiment analysis, Opinion mining, Bayesian classifier, Labelling},
        month = {},
        }