https://github.com/iadtya/hate-text-classification

Training RNN(LSTM) on Hate speech with tensorflow and keras
https://github.com/iadtya/hate-text-classification

fastapi keras lstm nltk numpy pandas tenserflow

Last synced: 10 days ago
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Training RNN(LSTM) on Hate speech with tensorflow and keras

• Host: GitHub
• URL: https://github.com/iadtya/hate-text-classification
• Owner: iAdtya
• License: mit
• Created: 2024-03-31T00:41:50.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-20T21:32:43.000Z (7 months ago)
• Last Synced: 2024-04-21T23:56:20.376Z (7 months ago)
• Topics: fastapi, keras, lstm, nltk, numpy, pandas, tenserflow
• Language: Jupyter Notebook
• Homepage:
• Size: 4.06 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Hate-Text-Classification

LSTMs are particularly effective for tasks involving sequential data, such as text classification, where the order and context of words are important. They can capture long-term dependencies and maintain relevant information over time, making them well-suited for processing and understanding textual data.

![Screenshot 2024-04-21 003412](https://github.com/iAdtya/Hate-Text-classification/assets/93979441/70fe14b5-4712-470e-a275-4b774a31769d)

## Project Workflows

- constants

- config_enity

- artifact_enity

- components

- pipeline

- app.py

## How to run?

```bash

conda create -p hate python=3.10 -y

```

```bash

conda init

conda activate D:\Text-classification\hate

```

```bash

conda activate hate

```

```bash

pip install -r requirements.txt

```

# Gcloud cli

https://dl.google.com/dl/cloudsdk/channels/rapid/GoogleCloudSDKInstaller.exe

```bash

gcloud init

```

```bash

python app.py

```