The Big Bad NLP Database

A huge database for Natural Language Processing. You can find links to a lot of data, that would be sufficient for most of the beginners and advanced NLP students / scientists alike.

#database #datasets #NLP #NaturalLanguageProcessing

#ML_Project: 0001 ——— Model to Detect Fraudulent Activities
🎯 FORWARD IF YOU LIKE IT 🎯

Task: Using k-means clustering, you can build a model to detect fraudulent activities. K-means clustering is an unsupervised Machine learning algorithm. It separates the observations into k number of clusters based on the similar patterns in the data.

Dataset: Enron email dataset
Enron Email Dataset is famous in natural language processing. It has more than 500K emails of over 150 users. The size of the data is around 432Mb. Out of 150 users, most are the senior management of Enron.

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#ML_Project: 0002 ——— 🎯 FORWARD IF YOU LIKE IT 🎯

Build a Chatbot


Task: You can build a chatbot or understand the working of a chatbot by twisting and expanding the data with your observations. To build a Chatbot of your own, you need to have a good knowledge of Natural language processing concepts.

Dataset: Chatbot Intents Dataset
The Chatbot dataset is a JSON file that has disparate tags like goodbye, greetings, pharmacy_search, hospital_search, etc. Every tag has a list of patterns that a user can ask, and the chatbot will respond according to that pattern. The dataset is perfect for understanding how chatbot data works.

Reference: Click here
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🔥Ready to take this challenge? 🔥
#python #machineLearning #projects #datasets #kMeans