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In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
The goal of this NLP project is to predict which of the provided quora question pairs contain two questions with the same meaning.
More than 3 billion people are using apps like SnapChat, Facebook, WeChat, and WhatsApp, all these messenger apps allow companies to engage with their customers in a more personal way. 64% of customers believe that a company should be easily contactable on messaging application, making it important for the organizations to incorporate a chatbot with the effective use of natural language processing (NLP). According to a survey by popular freelancing website Upwork, NLP tops the list of fastest growing skills in the global job market. The demand for people who can program computers to understand human speech has increased by more than 200%. From this it is clearly evident that working on ProjectPro’s interesting NLP projects will help you master the natural language processing skills required to get you hired at one of the top tech companies.