Unsupervised Sentiment Analysis
We assume that: negative and positive words usually are surrounded by similar words.
Therefore, in our model, we don’t give any previous assumptions and definitions to the model, we want the model to learn the structure of the data itself.
Given this Motivation, we can model our problem using Word2Vec and use Clustering algorithm.
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