Natural Language Processing
Day 4: Stemming and Lemmatization
IntroductionNatural Language Processing (NLP) plays a critical role in understanding and processing human language. This blog discusses stemming and lemmatization,...
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Tokenization and Stop Word Removal in NLP: Python Guide
When you first start learning NLP, tokenization and stop word removal are probably the first two preprocessing steps you encounter....
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Text Preprocessing in NLP: Cleaning and Normalization Guide
I will tell you something which most of the NLP tutorials don’t tell you upfront: text preprocessing in NLP accounts...
Read More โDay 1: 30 days of Natural Language Processing (NLP)
Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI) that focuses on the interaction between computers and humans...
Read More โUnleashing Emotions: Vader for Sentiment Analysis
VADER (Valence Aware Dictionary and Sentiment Reasoner) is a lexicon and rule-based sentiment analysis library that is specifically attuned to...
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Sentiment Analysis using TextBlob: A Complete Python Guide
Ever wondered how companies know if customers are happy or angry โ just from text? That’s sentiment analysis at work....
Read More โStep-by-Step Process of Implementing Stemming and Lemmatization in Python?
Install the Natural Language Toolkit (NLTK) library. This library provides a range of tools for natural language processing, including stemming...
Read More โWhat is the Normal Distribution?
Probability distribution is the function that shows the probabilities of the outcome of an event or experiment. Consider a feature...
Read More โWhat are decorators in Python?
Decorators are used to add some design pattern to a function without changing its structure. Decorators generally are defined before...
Read More โHotel Sentiment Analysis using NLP
Whenever we are trying to find hotels for vacation or travel, we always prefer a hotel known for its services....
Read More โWhat is doc2vec and word2vec in NLP?
Doc2vec is a technique that extracts semantic information from documents and then uses that information to classify the documents. By...
Read More โTop 40 Data Science Interview Questions and Answers
1 โ What is F1 score? F1 score is a measure of the accuracy of a model. It is defined...
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