The Natural Language Processing (NLP) Blog

In this guide, we cover how to start with the bag-of-words technique in Python. We first cover what a bag-of-words approach is and provide an example. We then cover the advantages and disadvantages...

What is stemming? Stemming is the process of reducing a word to its base or root form. For example, the stem of the word "running" is "run," and the stem of the word "swimming" is "swim." Stemming...

What is stop word removal? Stop words are commonly used words that have very little meaning, such as "a," "an," "the," or "in." Stopwords are typically excluded from natural language processing...

Lemmatization is the conversion of a word to its base form or lemma. This differs from stemming, which takes a word down to its root form by removing its prefixes and suffixes. Lemmatization, on the...

Tokenization is a process in natural language processing (NLP) where a piece of text is split into smaller units called tokens. This is important for a lot of NLP tasks because it lets the model...

Tf-idf is a way to measure the importance of a word. It is one of the ten most commonly used natural language processing techniques. This comprehensive guide covers tf-idf, why you should use it,...