Abstract
In this chapter we describe the theories and methods which are broadly utilized in this book. Starting with the notion of affective computing, sentiment analysis and opinion mining, this chapter covers the classifiers such as Support Vector Machine (SVM), Extreme Learning Machine (ELM), the basic model evaluation techniques e.g., precision, recall etc. We also explain Principal Component Analysis (PCA) and powerful textual features Word Embeddings (Word2Vec).
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Poria, S., Hussain, A., Cambria, E. (2018). Background. In: Multimodal Sentiment Analysis. Socio-Affective Computing, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-95020-4_2
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DOI: https://doi.org/10.1007/978-3-319-95020-4_2
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