A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools
text
A list of command-line tools for manipulating structured text data - dbohdan/structured-text-tools
Knowing the terminology is essential to understanding any tutorial.
Classifying cross-topic natural language texts based on their argumentative structure using deep learning
Case study of tweets from comments on Indonesia’s biggest media
Extract table from image with Nanonets table detection OCR. Learn OCR table Deep Learning methods to detect tables in images or PDF documents.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.
This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.
There is an unreasonable amount of information that can be extracted from what people publicly say on the internet. Learn how to do it.
This article discusses and compares different approaches of how to compare two text strings.
agnusmaximus/Word2Bits: Quantized word vectors that take 8x-16x less space than regular word vectors
Quantized word vectors that take 8x-16x less space than regular word vectors - agnusmaximus/Word2Bits
LightTag, a newly launched startup from a former NLP researcher at Citi, has built a "text annotation platform" designed to assist data scientists who
Traditional strategies for taming unstructured, textual data
:zap: From finding text to search and replace, from sorting to beautifying text and more :art: - learnbyexample/Command-line-text-processing
A downloadable annotation tool for LLMs, NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, evaluation and more.