Introduction to Word Embeddings
Navin Sabharwal, Amit Kumar Agrawal · Apress eBooks · 2021
NLP tasks such as document classification, sentiment analysis, clustering, and document summarization require processing and understanding of textual data. Implementation of these tasks depends on how data are being processed and understood by AI systems. One way of doing this is to convert textual representation to a numerical form using some statistical methods such as term frequency-inverse document frequency (TF-IDF), count vector, and so on, but these methods do not consider the meaning of a sentence and only deal with the occurrence of words in sentences.