NLP Unlocked: Lemmatization #003
NLP unleashed: unleashing the power of natural language processing.
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Category: Natural Language Processing
Insightful Data Science Web Applications with Streamlit
Insert a file uploader that accepts a single file at a time Streamlit is a free and open-source library that can be used with your favourite Python IDE to create web apps for data science and machine learning in a short time. You
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NLP Unlocked: Introduction #000
NLP unleashed: unleashing the power of natural language processing.
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Search the contents of DWG files with Python using OCR
AutoCAD has dominated the Computer Aided Design (CAD) space since the 1970’s. They created a file format for saving and sharing CAD files, and that extension is .dwg. These DWG files typically contain tags, labels, blueprints and more. It’s a treasure trove of rich unstructured data, that until now has been challenging to unlock.
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Building my first NLP text classification model using IPUs
This blog aims to demonstrate step-by-step how to fine-tune a Graphcore Hugging Face (HF) Optimum model for a text classification task on the GLUE General Language Understanding Evaluation benchmark. I will take it further by showing how to train and test the model using your own datasets. What is Natural Language
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How sentiment analysis can help your company
AI-powered systems are present almost everywhere nowadays. It serves company interests in many ways. One of them is sentiment analysis in real-time or batch-processed. Sentiment analysis is a method that can deduce/predict the global feeling of text chunks, comments, articles, and any text object. Given that company reputation and image are the first plan concerns for
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Estimation of text complexity
A tool to determine a complexity level of a given document
Read moreDocument Classification using NLP
Perform document classification into four defined categories (World, Sports, Business, Sci/Tech). Compare the classifier accuracy with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN. By making use of different feature engineering techniques and extra Natural Language Processing (NLP) features create an accurate text classifier. Document/Text classification is an important task that
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