Natural language processing

Best Approach For Resume screening by Machine Learning-Part 1

Reading Time: 3 minutes Introduction Resume screening is the process of determining whether a candidate is qualified for a role based on his or her education, experience, and other information captured on their resume. It’s a form of pattern matching between a job’s requirements and the qualifications of a candidate based on their resume. The goal of screening resumes is to decide whether to move a candidate forward – Continue Reading

MachineX: Sentiment analysis with NLTK and Machine Learning

Reading Time: 9 minutes In this blog, we are going to see how we can NLP library NLTK for sentiment analysis. Sentiment Analysis is a common NLP task nowadays. Every data scientist or a person working on data science needs to perform. Introduction to NLP Natural Language processing Natural Language Processing (NLP) is a subfield of artificial intelligence that helps computers understand human language. NLP enables machines to derive Continue Reading

Spark – LDA : A Complete example of clustering algorithm for topic discovery.

Reading Time: 6 minutes In this blog we will be demonstrating the functionality of applying the full ML pipeline over a set of documents which in this case we are using 10 books from the internet. So lets start with first thing first.. What is Clustering ? Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a Continue Reading