Building a Simple Chatbot from Scratch in Python (using NLTK)
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Updated
Apr 18, 2023 - Jupyter Notebook
Building a Simple Chatbot from Scratch in Python (using NLTK)
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained
Collection of Notebooks for Natural Language Processing with PyTorch
Iron man inspired Personal virtual assistant
Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.
YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.
A model which uses your social media posting predict your MBTI personality type.
Application made for youtube content creators to know their reviews separately as positive and negative comments.
I am determined to improve my basic core skills of python and data science by practice. Found this website very helpful for systematic learning.
Step by step road map to learn and understand Natural Language Processing
Guess gender from indian names.
E-Learning Website using Django
This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.
This project uses Natural Language Processing (NLP) to analyze tweets and predict whether they contain cyberbullying content. It categorizes cyberbullying into six categories: Age, Ethnicity, Gender, Religion, Other Cyberbullying.
An implementation of an email spam filter using Naive Bayes method. Observed accuracy: 96.98%
🏠 A Data Science Project done to find the factors that most affect the price of an Airbnb listing.
This is a trend trading indicator and alert that utilizes the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.
Add a description, image, and links to the nltk-python topic page so that developers can more easily learn about it.
To associate your repository with the nltk-python topic, visit your repo's landing page and select "manage topics."