<ul><li>Word2vec is a neural net that processes text, grouping vectors of similar words with two methods: CBOW and skip-gram.</li><li>Spacy's larger English model includes word vectors, which can be utilized for various tasks like document2vec.</li><li>Word vectors provide semantic relationships, like similarity between words, based on cosine similarity.</li><li>You can check if a word is outside vocabulary using attributes such as has_vector and is_oov.</li><li>Vector arithmetic allows for operations like 'king - man + queen = queen' to explore relationships among words.</li><li>VADER is a sentiment analysis tool sensitive to polarity in text data, analyzing sentiment without pre-labeled data.</li><li>VADER uses a dictionary to map lexical features to sentiment scores, considering words' intensity and context.</li><li>NLTK's VADER tool can be used to analyze sentiment in text data, detecting positive and negative sentiments.</li><li>Colab file for Amazon reviews sentiment analysis with VADER is available for further exploration.</li></ul>

NLP - Semantics and Sentiment Analysis

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