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Text data is a favorable research object for emotion recognition when it is free and available everywhere in human life. Compare to other types of data, the storage of text data is lighter and easy to compress to the best performance due to the frequent repetition of words and characters in languages.
The Microsoft Reaction Card, developed by Microsoft in 2002 by Joey Benedek and Trish Miner, is a method used to check the emotional response and desirability of a design or product.
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.
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.
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
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 ...
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.
The emotion annotation can be done in discrete emotion labels or on a continuous scale. Most of the databases are usually based on the basic emotions theory (by Paul Ekman) which assumes the existence of six discrete basic emotions (anger, fear, disgust, surprise, joy, sadness). However, some databases include the emotion tagging in continuous ...