List: AI Text Automatic | Curated by Keith Whitson

Jun 16, 2022

9 stories

AI Text Automatic 
In
TDS Archive
by
Mauro Di Pietro
Text Classification with NLP: Tf-Idf vs Word2Vec vs BERTPreprocessing, Model Design, Evaluation, Explainability for Bag-of-Words, Word Embedding, Language models
Jul 18, 2020
2.5K
28
Jul 18, 2020
2.5K
28
In
TDS Archive
by
Rani Horev
BERT Explained: State of the art language model for NLPAn approachable and understandable explanation of BERT, a recent paper by Google that achieved SOTA results in wide variety of NLP tasks.
Nov 10, 2018
9.7K
33
Nov 10, 2018
9.7K
33
In
TDS Archive
by
Veysel Kocaman
Text Classification in Spark NLP with Bert and Universal Sentence EncodersTraining a SOTA multi-class text classifier with Bert and Universal Sentence Encoders in Spark NLP with just a few lines of code in less…
Apr 12, 2020
662
7
Apr 12, 2020
662
7
In
TDS Archive
by
Moez Ali
Time Series Anomaly Detection with PyCaretA step-by-step tutorial on unsupervised anomaly detection for time series data using PyCaret
Apr 22, 2021
576
4
Apr 22, 2021
576
4
Vedant Mahajan
Summarize Text the Smart Way using NLPSummary of a text is a very useful and important part of Natural Language Processing (NLP). Different organizations today like online…
Jun 14, 2022
305
5
Jun 14, 2022
305
5
In
TDS Archive
by
Abhijit Roy
Understanding Automatic Text Summarization-2: Abstractive MethodsHow can we use deep learning to summarize the text?
Aug 7, 2020
173
1
Aug 7, 2020
173
1
In
TDS Archive
by
Abhijit Roy
Understanding Automatic Text Summarization-1: Extractive MethodsHow can we summarize our documents automatically?
Aug 5, 2020
189
1
Aug 5, 2020
189
1
Umberto Grando
Comparing two strings in python with textdistance30+ algorithms in a single library!
Feb 2, 2022
3
Feb 2, 2022
3
Prastuti Pokhrel
Twitter Sentiment Analysis on COVID-19 using VADERIntroduction
May 2, 2021
12
May 2, 2021
12

Responses

AI Text Automatic

Text Classification with NLP: Tf-Idf vs Word2Vec vs BERT

Preprocessing, Model Design, Evaluation, Explainability for Bag-of-Words, Word Embedding, Language models

BERT Explained: State of the art language model for NLP

An approachable and understandable explanation of BERT, a recent paper by Google that achieved SOTA results in wide variety of NLP tasks.

Text Classification in Spark NLP with Bert and Universal Sentence Encoders

Training a SOTA multi-class text classifier with Bert and Universal Sentence Encoders in Spark NLP with just a few lines of code in less…

Time Series Anomaly Detection with PyCaret

A step-by-step tutorial on unsupervised anomaly detection for time series data using PyCaret

Summarize Text the Smart Way using NLP

Summary of a text is a very useful and important part of Natural Language Processing (NLP). Different organizations today like online…

Understanding Automatic Text Summarization-2: Abstractive Methods

How can we use deep learning to summarize the text?

Understanding Automatic Text Summarization-1: Extractive Methods

How can we summarize our documents automatically?

Comparing two strings in python with textdistance

30+ algorithms in a single library!

Twitter Sentiment Analysis on COVID-19 using VADER

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