Natural language processing

MachineX: Sentiment analysis with NLTK and Machine Learning

February 20, 2020April 6, 2020AI, Artificial intelligencedata analysis, data science, Machine Learning, Natural language processing

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.

October 8, 2016October 12, 2016Apache Spark, Scala, SparkApache Spark, cleaning data, clustering, clustering in distributed systems, distributed LDA, document Clustering, full example, introduction to machine learning, LDA algorithm, lemmatization, Machine Learning, Machine Learning Pipeline, Natural language processing, NLP, opensource, Spark, Spark package, stanford nlp, Stemming, Stopwords removal, Testing, tokenization, Topic identification

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