Welcome to the Tweet Classifier repository! This tool utilizes deep learning, specifically Brain.js, to classify tweets!

• Utilizes deep learning with Brain.js for efficient tweet classification
• Tokenizes and stems tweets to build a comprehensive words dictionary

1. Data Preprocessing:

   • Tweets are tokenized and stemmed to create a meaningful words dictionary.

2. Model Training:

   • The preprocessed data is fed into the model for training using Brain.js.

3. Classification:

   • When you make a request with two tweets, the model processes them.
   • The model converts the tweets into a Bag-of-Words (BoW) representation, e.g., [0, 0, 0, 0, 1].
   • The BoW representation is then fed into the trained model for classification.

4. Results:

   • The model returns the classification probabilities for each tweet.
   • For example: {tweet1: 0.010000, tweet2: 0.09000} indicates the probability of each tweet belonging to a specific class.

Briefly introduce yourself here. Talk about your passion for coding and what inspired you to create this awesome Tweet Classifier!

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[MIT]