> For the complete documentation index, see [llms.txt](https://michael-mao.gitbook.io/sentiment-analysis-bert/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://michael-mao.gitbook.io/sentiment-analysis-bert/unsupervised/unsupervised-sentiment-analysis.md).

# Unsupervised Sentiment Analysis

## [Idea](https://towardsdatascience.com/unsupervised-sentiment-analysis-a38bf1906483)

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.