https://github.com/apchavan/ulmfit_twitter

ULMFiT model for Twitter US Airlines Sentiment
https://github.com/apchavan/ulmfit_twitter

keras-tensorflow numpy pandas-dataframe python3 sentiment sentiment-analysis sklearn twitter-sentiment-analysis ulmfit

Last synced: about 1 month ago
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ULMFiT model for Twitter US Airlines Sentiment

• Host: GitHub
• URL: https://github.com/apchavan/ulmfit_twitter
• Owner: apchavan
• License: gpl-3.0
• Created: 2019-08-16T06:39:40.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-08-16T08:28:22.000Z (almost 7 years ago)
• Last Synced: 2025-09-10T06:03:49.717Z (9 months ago)
• Topics: keras-tensorflow, numpy, pandas-dataframe, python3, sentiment, sentiment-analysis, sklearn, twitter-sentiment-analysis, ulmfit
• Language: Jupyter Notebook
• Homepage:
• Size: 38.1 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Sentiment analysis ULMFiT model for Twitter US Airlines

*The ULMFiT model using Twitter US Airlines user's reviews.*

**Dependencies:**

- [NumPy](https://www.numpy.org/) - For faster manipualtion of array operations (used here only permutation of indices in DataFrame).

- [Pandas](https://pandas.pydata.org/) - For reading data from CSV file data into processable format called a DataFrame.

- [TensorFlow](https://www.tensorflow.org/) - To create model by processing data from DataFrame using Keras in TensorFlow.

- [Scikit-learn](https://scikit-learn.org/stable) - For label encoding (using LabelEncoder()) the target variables in data.

***Note:*** This model is completely developed in Jupyter Notebook and executed on [Google Colab](https://colab.research.google.com/) but also a Python (.py) file is provided if required.