Reddit bot which replies to sarcastic comments
- numpy, scipy - For Mathematical and Scientific processes
- nltk - NLP Application
- scikit - Model Training and Feature Extraction
- textblob - Sentiment Analysis
- pickle - Pickling Models and Vectorizers
- langdetect - Language Detection of comments
- praw - Reddit Bot
- Sentiment Analysis of full text, equal 2 and 3 parts of text
- n-grams - 1 to 5
- Term Frequency–Inverse Document Frequency(TF-IFD) after stemming, tokenizing and using n-grams of 1 to 5
- Part of Speech Dictionary Vector
- Topic Modeling
- Removed URLs
- Removed Stopwords
- Removed words with less than 4 tokens
Using above Features and Preprocessing 4 models are trained,
- Logistic Regression
- Linear SVM
- SVM with Gaussian Kernel
- Random Forest
If a comment is predicted as 'sarcastic' by 3 out 4 models, it is treated as sarcastic.
classifier.py
- Training and Testing Modelsbot.py
- Reddit Botcli_bot.py
- A Command Line Interactive Interface for the Reddit Botmain.ipynb
- iPython Notebook led to the final model hypothesis
-
Register for new Reddit App here and fill details (username, password, client id, client secret) under name 'bot1' in
praw.ini
-
Run
classifier.py
with Python 3(Optional) or use pretrained models -
Run
bot.py
with Python 3 for the automated Reddit Bot -
Run
cli_bot.py
with Python 3 for an interactive version of the Reddit Bot.
That's it.
Logs can accessed at comment.log
How to fill praw.ini
Final accuracy of models are in final_accuracy.txt
Dataset is available in container
Downloaded from here