https://github.com/nhatthaiquang-agilityio/nlp-twitter-sentiment-analysis

Base on negative and positive twitters, I create a sentiment classifier(Naive Bayes and Maxent). Using predict neg or pos of sentence.
https://github.com/nhatthaiquang-agilityio/nlp-twitter-sentiment-analysis

machine-learning natural-language-processing nlp nltk sentiment-analysis

Last synced: about 1 month ago
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Base on negative and positive twitters, I create a sentiment classifier(Naive Bayes and Maxent). Using predict neg or pos of sentence.

• Host: GitHub
• URL: https://github.com/nhatthaiquang-agilityio/nlp-twitter-sentiment-analysis
• Owner: nhatthaiquang-agilityio
• Created: 2019-03-21T03:19:39.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-27T01:28:20.000Z (almost 6 years ago)
• Last Synced: 2024-04-16T07:09:41.141Z (9 months ago)
• Topics: machine-learning, natural-language-processing, nlp, nltk, sentiment-analysis
• Language: Python
• Homepage:
• Size: 86.9 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# nlp-twitter-sentiment-analysis

+ Naive Bayes Classifier

+ Maxent Classifier(Megam, GIS)

### Required

+ [Install Megam](https://textminingonline.com/dive-into-nltk-part-viii-using-external-maximum-entropy-modeling-libraries-for-text-classification)

### Overview

![Overview](./overview.png)

### Processing Steps

+ Preparation data

+ Feature Extraction(word feature and ngram)

+ Training Classifier

+ Classification

+ Accuracy

### Run

```

sen = SentimentTwitterClassifier()

sen.train_naivebayes_classifier()

sen.show_info_features()

sen.show_accuracy()

sen.classify_sentence("This was an amazing movie")

sen.classify_sentence("This was an worse movie")

sen.classify_sentence("This was not an good movie")

```

### Reference

[NLTK Classify](http://www.nltk.org/howto/classify.html)

[Analyzing Sentiment with Python and nltk](https://www.twilio.com/blog/2017/09/sentiment-analysis-python-messy-data-nltk.html)

[Twitter Sentiment](https://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/)

[NLTK Classify Example](https://github.com/EdmundMartin/nltk_classify)

[Text Classification to Sentiment Analysis](https://textminingonline.com/dive-into-nltk-part-ix-from-text-classification-to-sentiment-analysis)

[External Maximum Entropy Modeling for Text Classification](https://textminingonline.com/dive-into-nltk-part-viii-using-external-maximum-entropy-modeling-libraries-for-text-classification)