Comment-Toxicity-Analysis

Index

This Initial Model is just for Comparing or for starting Without Preprocessing and Ensembling techniques.
It tells toxicity after Analysing the Comment.
- If a comment is Toxic or Bad then it will return Toxic else it will return toxic.

It take more time because it reload python script evertime on pressing Submitting the Comment.

Here is the engine of the model which is hosted using Flask.
It Resolved the Fault of Initial Stage Model.
It Only takes time on first time loading.
It Returns the Percentage instead of Class.
you Can See the Jupyter-notebook https://github.com/ckshitij/Comment-Toxicity-Analysis/blob/master/engine/Models/notebook.ipynb
- Here its gives the Toxicity Percentage of the Comment.
- You Can see the Difference between the Percentage of the comment

First Download the code directly from here in zip or clone through git.
Then go to the engine folder.
Click On the above Engine Notebook Kaggle and download all the .pkl file in Models folder.
Then to to the Terminal and run app.py file.

Then open your Web Browser and type http://localhost:5000/.

git clone https://github.com/ckshitij/Comment-Toxicity-Analysis.git
cd Comment-Toxicity-Analysis
cd engine
python3 app.py

You Can improve this Code by Increasing the n-gram range (1,3or4) for Word-Level and n-gram range (1,10) for Char-Level.
You can use Deeplearning RNN (LSTM).
You can use word level Cnn Model too.

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
Image		Image
Main Paper		Main Paper
engine		engine
1.png		1.png
2.png		2.png
README.md		README.md
RunModel.py		RunModel.py
ToxityAnalysis.ipynb		ToxityAnalysis.ipynb
_config.yml		_config.yml
app.js		app.js
finalized_model.pkl		finalized_model.pkl
front_view.png		front_view.png
index.html		index.html
package.json		package.json