# liuhuanyong/SentenceSentimentClassifier

<https://repo.masters-masters.com/en/repos/liuhuanyong/SentenceSentimentClassifier>

[Home](https://repo.masters-masters.com/en) › [liuhuanyong](https://repo.masters-masters.com/en/owners/liuhuanyong) › [SentenceSentimentClassifier](https://repo.masters-masters.com/en/repos/liuhuanyong/SentenceSentimentClassifier)

liuhuanyong/SentenceSentimentClassifier has 145 stars on GitHub. Its RepoMasters card: Prototype tier. Sentiment Classifier base on traditional Maching…

| Field | Value |
| --- | --- |
| Owner | [liuhuanyong](https://repo.masters-masters.com/en/owners/liuhuanyong) |
| Stars | 145 |
| Forks | 48 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [liuhuanyong/SentenceSentimentClassifier](https://github.com/liuhuanyong/SentenceSentimentClassifier) |

## Repository

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
