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  2. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

  3. Emotion recognition - Wikipedia

    en.wikipedia.org/wiki/Emotion_recognition

    Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively nascent research area. Generally, the technology works best if it uses multiple modalities in context.

  4. Affective computing - Wikipedia

    en.wikipedia.org/wiki/Affective_computing

    The process of speech/text affect detection requires the creation of a reliable database, knowledge base, or vector space model, [21] broad enough to fit every need for its application, as well as the selection of a successful classifier which will allow for quick and accurate emotion identification.

  5. Emotion recognition in conversation - Wikipedia

    en.wikipedia.org/wiki/Emotion_recognition_in...

    Emotion recognition in conversation (ERC) is a sub-field of emotion recognition, that focuses on mining human emotions from conversations or dialogues having two or more interlocutors. [1] The datasets in this field are usually derived from social platforms that allow free and plenty of samples, often containing multimodal data (i.e., some ...

  6. Emotion Markup Language - Wikipedia

    en.wikipedia.org/wiki/Emotion_Markup_Language

    A standardised way to mark up the data needed by such "emotion-oriented systems" has the potential to boost development primarily because data that was annotated in a standardised way can be interchanged between systems more easily, thereby simplifying a market for emotional databases, and the standard can be used to ease a market of providers ...

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Speech Synthesis, Speech Recognition, Corpus Alignment, Speech Therapy, Education. 2016 [134] N. Halabi Common Voice: A public domain database of crowdsourced data across a wide range of dialects. Validation by other users . English: 1,118 hours MP3 with corresponding text files Speech recognition 2017 June (2019 December) [135] Mozilla: LJSpeech

  8. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  9. Emotion classification - Wikipedia

    en.wikipedia.org/wiki/Emotion_classification

    Emotion classification, the means by which one may distinguish or contrast one emotion from another, is a contested issue in emotion research and in affective science. Researchers have approached the classification of emotions from one of two fundamental viewpoints: [citation needed] that emotions are discrete and fundamentally different constructs