Text Classification Basics Part 4: Feature Extractions from TextIn this part of the series, we’ll explore how to perform feature extraction from text. We’ll use the SMSSpamCollection dataset, which you…Oct 1, 2024Oct 1, 2024
Text Classification Basics Part 3: Text Classification Basics with SciKit-LearnTo begin working with SciKit-Learn, we first need to install the library. You can do this by running the following command in your…Sep 26, 2024Sep 26, 2024
Text Classification Basics Part 3: Confusion MatrixWhen testing a classification problem, there are two key categories to consider: actual and predicted.Sep 25, 2024Sep 25, 2024
Text Classification Basics Part 2: Model EvaluationAfter processing data through a machine learning model, it’s crucial to evaluate its performance using appropriate metrics. The most…Sep 25, 2024Sep 25, 2024
Text Classification Basics Part 1: A Glimpse of Machine Learning 🤖What is Machine Learning?Sep 18, 2024Sep 18, 2024
POS & NER Part 4: AssessmentNow you’ve learned about part of speech and name entity recognitions in NLP. It’s time to review everything we have learned in this…Sep 18, 2024Sep 18, 2024
POS & NER Part 3: Sentence SegmentationNow we are going to do sentence segmentation. It’s basically how to divide doc objects into sentences. This post will show you how sentence…Sep 17, 2024Sep 17, 2024
POS & NER Part 2: Name Entity RecognitionToday, we’ll explore of of NLP fundamental task, Named Entity Recognition (NER). NER involves identifying and classifying named entities…Sep 11, 2024Sep 11, 2024
POS & NER Part 1 : Part of Speech TaggingPOS tagging is assigning each word in a sentence its corresponding part-of-speech such as noun, verb, adjective, etc to understand the…Sep 10, 2024Sep 10, 2024
NLP Part 6: AssessmentCongratulations! You have learned basic NLP that covers tokenization, stemming, lemmatization, stop words, and phrase matching &…Sep 9, 2024Sep 9, 2024