Answering Questions with Transformers
In a previous post, we showed how we could do text summarization with transformers. Here, we will provide you an …
nlp
Rule-Based Matching for NLP using spaCy
If you are an NLP enthusiast you know for sure the spaCy library. It’s a powerful library mostly known for …
How to Create a Powerful TF-IDF Keyword Research Tool
We are at the age of digital marketing and now the words are more important than ever. One of the …
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Email Spam Detector in Python
Ham or Spam One of the most common projects, especially for teaching purposes, is to build models to predict if …
Text Generation for Instagram using N-Grams
Text Generation has many approaches such as Keras and Neural Nets but in this post, we are making a simple …
Word Level Text Generation in Python
In the previous post we gave a walk-through example of “Character Based Text Generation”. In this post, we will provide …
Character Level Text Generation
Today, we will provide a walkthrough example of how you can apply character based text generation using RNN and more …
PySpark: Logistic Regression with TF-IDF on N-Grams
This post is about how to run a classification algorithm and more specifically a logistic regression of a “Ham or …
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Keep Punctuation in NLP tasks with Python
Usually in NLP tasks we use to remove punctuation and “stopwords” from the corpus. This is valid when we are …
