The next word predictor is an exciting feature that helps you type faster on your mobile phone. It predicts the next word in the context you want to type. It is a very useful tool for people who type often and make mistakes while typing. It can be leveraged for auto-suggestion features in messenger and search engine apps.
The next word predictor makes it easy for readers to understand what exactly you are trying for them to read about.
The next word predictor created using this kit is added in this section. The entire solution is available as a package to download from the source code repository.
For Windows OS,
For other Operating System,
Click on the button below to download the solution and follow the deployment instructions to begin set-up. This 1-click kit has all the required dependencies and resources you may need to build your Next Word Predictor App.
Follow the below instructions to run the solution.
text_seq = "I'm gonna make him an offer he can't"
['refuse', 'resist', 'take', 'deny', 'get']
If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation.
VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web-based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.
For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.
Python 36647 Version:1.5.2 License: Permissive (BSD-3-Clause)
Libraries in this group are used for analysis and processing of unstructured natural language.
The library offers state-of-the-art pre-trained models for Natural Language Processing (NLP).
Python 78874 Version:4.25.1 License: Permissive (Apache-2.0)
Jupyter Notebook 0 Version:v1.0.0 License: Permissive (MIT)
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