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 1Oct 1
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 26Sep 26
Text Classification Basics Part 3: Confusion MatrixWhen testing a classification problem, there are two key categories to consider: actual and predicted.Sep 25Sep 25
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 25Sep 25
Text Classification Basics Part 1: A Glimpse of Machine Learning 🤖What is Machine Learning?Sep 18Sep 18
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 18Sep 18
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 17Sep 17
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 11Sep 11
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 10Sep 10
NLP Part 6: AssessmentCongratulations! You have learned basic NLP that covers tokenization, stemming, lemmatization, stop words, and phrase matching &…Sep 9Sep 9