https://github.com/lovesaroha/imdb-reviews-sentiment-analysis-training
Training a keras model to recognize sentiment in order to classify an incoming movie review text as positive or the other.
https://github.com/lovesaroha/imdb-reviews-sentiment-analysis-training
imdb-dataset keras machine-learning python sentiment-analysis tensorflow
Last synced: 2 months ago
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Training a keras model to recognize sentiment in order to classify an incoming movie review text as positive or the other.
- Host: GitHub
- URL: https://github.com/lovesaroha/imdb-reviews-sentiment-analysis-training
- Owner: lovesaroha
- License: gpl-3.0
- Created: 2021-09-27T11:15:56.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-09-27T11:16:53.000Z (almost 5 years ago)
- Last Synced: 2025-03-02T06:47:57.040Z (over 1 year ago)
- Topics: imdb-dataset, keras, machine-learning, python, sentiment-analysis, tensorflow
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# IMDB-Reviews-Sentiment-Analysis-Training
Training a keras model to recognize sentiment in order to classify an incoming movie review text as positive or the other.
## Requirements
- Python 3 or higher.
## Packages
### Numpy
```bash
py -m pip install numpy
```
### Tensorflow
```bash
py -m pip install tensorflow
```
### Tensorflow Datasets
```bash
py -m pip install tensorflow_datasets
```
## Start Training With Text Reviews
```bash
py convolutional_neural_network_text.py
```
```bash
py bi_lstm_text.py
```
```bash
py gru_text.py
```
## Start Training With SubWords
```bash
py convolutional_neural_network_subwords.py
```
```bash
py bi_lstm_subwords.py
```
```bash
py gru_subwords.py
```