Predictive Text Model
Samuel Owusu Manu
2024-07-27
Predictive Text Model
An Innovative
Solution for Next-Word Prediction
Samuel Owusu Manu
2024-07-27
How the Model Works
- Data Collection: The en_US text data was collected,
cleaned and preprocessed it all into a one text.
- Tokenizer: The text data was converted into
sequences of integers using a tokenizer.
- Model Architecture: We used a Sequential LSTM
network for prediction.
- Training: The model was trained using the Keras
library in TensorFlow.
Showcasing the App
- User Interface:
- Simple and intuitive input box for n-grams.
- Predict button to generate the next word.
- Visualization:
- Bar chart of top predicted words.
App Screenshot
Why Our Product is Awesome
- High Accuracy:
- Significantly improves next-word prediction accuracy.
- User-Friendly:
- Intuitive and easy-to-use interface.
- Scalable:
- Can be integrated into various applications like messaging apps,
search engines, etc.
- Visual Insights:
- Provides visual feedback to users with bar charts and word
clouds.