NLP
13 articles
Challenges of NER
Named Entity Recognition faces several obstacles including ambiguous interpretations, varied entity forms, rare training data, and precise boundary detection in complex text.
Components of An NLP-based Search Engine
An NLP-based search engine combines multiple components—text preprocessing, query understanding, indexing and retrieval, ranking, and results presentation—to deliver relevant results. Learn how each component works together in this technical breakdown.
Extracting Keywords from Text
Learn how to extract keywords from text using JavaScript's natural library with tokenization, part-of-speech tagging, and frequency-based filtering—complete with code examples.
Naive Bayes Classifier
The Naive Bayes classifier is a probabilistic model that predicts class labels based on input features by applying Bayes' theorem. Despite its simplifying assumption that features are independent, it offers speed and simplicity, making it effective for classification and text analysis tasks.
Natural Language Toolkit - NLTK
Natural Language Toolkit (NLTK) is a popular Python library for NLP tasks including tokenization, stemming, and machine learning. Learn about NLTK and the products, services, and JavaScript libraries built on top of it.
Natural NPM Package
The `natural` library in Node.js offers a comprehensive toolkit for natural language processing, including tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition.
Natural NPM Package - Decision Tree Classifier
The natural npm package provides a DecisionTreeClassifier for text classification tasks. This guide shows how to train and use the classifier with JavaScript code examples.
Natural NPM Package - Named Entity Recognition (NER)
A guide to implementing Named Entity Recognition with the Natural NPM package in JavaScript. This example demonstrates tokenization and entity extraction using rule-based and machine learning approaches.
Natural NPM Package - NLP Classification
Learn how to build text classifiers using the Natural npm package, including practical examples of Naive Bayes and Logistic Regression classifiers for sentiment analysis and category prediction.
Natural NPM Package - Parts Of Speech Tagging
A guide to using the natural npm package for part-of-speech tagging in Node.js, including examples of tokenization, tagging with pre-built models, and training custom taggers on your own corpus data.
NLP Coreference Resolution
Coreference resolution identifies which words and phrases in a text refer to the same entity—a fundamental NLP task that powers machine translation, question answering, and information extraction across healthcare, finance, and government sectors.
NLP Libraries
Explore leading NLP libraries for production applications, from Python tools like spaCy and Hugging Face Transformers to Java-based Stanford CoreNLP and Apache OpenNLP, with a detailed comparison of their strengths and trade-offs.
NLP Pipeline
Learn how NLP pipelines work through their main components—from text preprocessing and part-of-speech tagging to sentiment analysis and coreference resolution.