https://github.com/memudualimatou/text-classification-using-lstm
https://github.com/memudualimatou/text-classification-using-lstm
lstm mental-health rnn tensorflow
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/memudualimatou/text-classification-using-lstm
- Owner: memudualimatou
- Created: 2020-07-04T16:29:10.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-11T15:15:18.000Z (about 5 years ago)
- Last Synced: 2025-01-21T22:43:16.144Z (9 months ago)
- Topics: lstm, mental-health, rnn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 32.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# TEXT-CLASSIFICATION-USING-LSTM
The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alcoholism, and drug abuse.
Nowadays, most students go through all these. The dataset is imbalanced.
In this project I built a classification model using LSTM and used a single text randomly from the test dataset and processed it.At the end,according to which mental health category the student was battling with a supportive message is printed out to encourage the author of that particular msg to STOP.