List: Text Regression | Curated by Keith Whitson | Medium

Oct 9, 2022

6 stories

Text Regression

In

Analytics Vidhya

by

Idil Ismiguzel

Discovering the Value of Text: An Introduction to NLP

When we talk about data, it is common practice to imagine continuous features that describe quantities or categorical features that…

Apr 6, 2020

Discovering the Value of Text: An Introduction to NLP

Apr 6, 2020

In

DataDrivenInvestor

by

Marta

😲 Say what?! Text-Based Prediction of Twitter Engagement with Naive Bayes

Vectorization and linear regression to predict engagement rate.

Oct 5, 2020

😲 Say what?! Text-Based Prediction of Twitter Engagement with Naive Bayes

Oct 5, 2020

In

MITB For All

by

Joshua Phuong Le

Rating Prediction from Review Text with Regularization — Linear Regression vs Logistic Regression

In this article, I attempted to construct a few traditional machine learning models (linear regression and logistic regression) with…

Aug 17, 2022

Rating Prediction from Review Text with Regularization — Linear Regression vs Logistic Regression

Aug 17, 2022

In

Analytics Vidhya

by

Idil Ismiguzel

Applying Text Classification using Logistic Regression: A comparison between BoW and Tf-Idf

Creating “language-aware data products” are becoming more and more important for businesses and organizations. Leveraging on machine…

May 7, 2020

Applying Text Classification using Logistic Regression: A comparison between BoW and Tf-Idf

May 7, 2020

ODSC - Open Data Science

Using Text Features to Predict the Great Stock Market Crash of 1929

Predicting financial crises is notoriously difficult. This is primarily a consequence of the infrequency of such events and the instability…

Jun 22, 2021

Using Text Features to Predict the Great Stock Market Crash of 1929

Jun 22, 2021

La Javaness R&D

Regression with Text Input Using BERT and Transformers

1. Introduction

Mar 11, 2022

Regression with Text Input Using BERT and Transformers

Mar 11, 2022

Keith Whitson
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I am a data expert that likes to use those skills to help both regular people and big businesses.
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