Natural Language Processing (NLP) is about the processing of natural language by computer. It’s about making computer/machine understand about natural language. Natural language means the language that humans speak and understand. Natural Language Toolkit (NLTK) is a suite of Python libraries for Natural Language Processing (NLP). NLTK contains different text processing libraries for classification, tokenization, … Read more
Below is the step-by-step beginner guide to conduct experiment on any Recommender System research that contains some work on Natural Language Processing (NLP) as well. So, this can be a guide to NLP research work as well specifically for Sentiment Analysis. Recommender System research can include users’ reviews text and process them using Sentiment Analysis … Read more
This article deals with using different feature sets to train three different classifiers [Naive Bayes Classifier, Maximum Entropy (MaxEnt) Classifier, and Support Vector Machine (SVM) Classifier]. Bag of Words, Stopword Filtering and Bigram Collocations methods are used for feature set generation. Text Reviews from Yelp Academic Dataset are used to create training dataset. Cross-validation is … Read more