“Lexicon” will refer to the component ofThe role of lexicons in natural language processing – ACM Digital Library
a NLPsystem that contains information (semantic, grammatical) about individual words or word strings.
Sentiment lexicons are mappings from words toOn the Automatic Learning of Sentiment Lexicons
scores capturing the degree of the pressed by a given word. sentimentex
- There are different kinds of lexicons for different things (Subjectivity Lexicon, Sentiment Lexicon, Emotion, Opinion), even different languages.
- They can be manually constructed or automated.
- Sentiment lexicons are an important source of features.
Lexicon embeddings are derived by taking scores from multiple sources of lexicon datasets. Each lexicon dataset consists of key-value pairs, where the key is a word and the value is a list of sentiment scores for that word (e.g., probabilities of the word in positive, neutral, and negative contexts). A lexicon embedding is constructed by concatenating all the scores among the datasets with respect to a word. If a word does not appear in certain datasets, 0 values are an assigned in place. The resulting embedding is in the form of a vector v ∈ R^e, where e is the total number of scores across all lexicon datasets.
(Lexicon Integrated CNN Models with Attention for Sentiment Analysis)