Learn about regular expressions in Python with data from how ISIS uses Twitter dataset (2016) /
This dataset is designed for teaching regular expressions for text analysis. The dataset is a subset of data derived from the 2016 "How ISIS Uses Twitter" dataset, and the example demonstrates how to use regular expressions to extract hashtags from the tweets. The dataset file is accompani...
| Main Author: | Shi, Feng, active 2019 (Author) |
|---|---|
| Corporate Author: | Odum Institute (Author) |
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2019.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Learn about encodings in Python with data from how ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about basic concepts in text analysis in Python with data from how ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about term frequency--inverse document frequency in text analysis in Python with data from how ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about latent dirichlet allocation in Python with data from the News Articles dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about dictionary-based sentiment analysis in Python with data from the Economic News Article Tone dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about text pre-processing in Python with data from how ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about non-negative matrix factorization for topic modeling in Python with data from the News Articles dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Sentiment analysis with Twitter data.
Published: (2018)
Published: (2018)
Learn about sentiment analysis with supervised learning in Python with data from the Economic News Article Tone dataset (2016) /
by: Shi, Feng
Published: (2019)
by: Shi, Feng
Published: (2019)
Learn about encodings in R with data from How ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Using Python to extract data from Twitter.
Published: (2018)
Published: (2018)
Learn about basic concepts in text analysis in R with data from How ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about term frequency-inverse document frequency in text analysis in R with data from How ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about dictionary-based sentiment analysis in R with data from the Economic News Article Tone dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about PageRank in Python with data from the Florentine Family dataset (1994) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about convolutional neural networks in Python with data from the MNIST dataset (1998) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Programming for Corpus Linguistics with Python and Dataframes /
by: Keller Daniel
Published: (2024)
by: Keller Daniel
Published: (2024)
Studying usage of emoji skin tones using Python and Twitter data.
Published: (2019)
Published: (2019)
Python forensics : a workbench for inventing and sharing digital forensic technology /
by: Hosmer, Chet
Published: (2014)
by: Hosmer, Chet
Published: (2014)
Python /
Published: (2021)
Published: (2021)
Learn about regular expressions in R with data from How ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Learn about text pre-processing in R with data from How ISIS uses Twitter dataset (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Introduction to Python.
Published: (2018)
Published: (2018)
Collocations.
Published: (2017)
Published: (2017)
PYTHON FAST TRACK a complete guide to rapidly mastering and applying python programming.
by: ROY, SANJIBAN SEKHAR
Published: (2025)
by: ROY, SANJIBAN SEKHAR
Published: (2025)
Module 3 : introduction to JSON.
Published: (2018)
Published: (2018)
Learn about random forest in Python with data from the Adult Census Income dataset (1996) /
by: Shi, Feng
Published: (2019)
by: Shi, Feng
Published: (2019)
Python programming using problem solving /
by: Bhasin, Harsh
Published: (2023)
by: Bhasin, Harsh
Published: (2023)
Bite-size Python : an introduction to Python programming /
by: Speight, April
Published: (2020)
by: Speight, April
Published: (2020)
Python. Receptury /
by: Beazley, David M.
Published: (2014)
by: Beazley, David M.
Published: (2014)
Einführung in Python /
by: Lutz, Mark
Published: (2007)
by: Lutz, Mark
Published: (2007)
Python kurz & gut /
by: Lutz, Mark
Published: (2005)
by: Lutz, Mark
Published: (2005)
Stop words.
Published: (2017)
Published: (2017)
Implementing in R.
Published: (2017)
Published: (2017)
Feature weighting.
Published: (2017)
Published: (2017)
Creating a document feature matrix.
Published: (2017)
Published: (2017)
Stemming.
Published: (2017)
Published: (2017)
Learn about artificial neural networks in Python with data from the Adult Census Income Dataset (1996) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Python practice lab : learn how to code through interactive examples /
by: Lim, Angelica, et al.
Published: (2026)
by: Lim, Angelica, et al.
Published: (2026)
Python : an introduction to programming /
by: Parker, James
Published: (2017)
by: Parker, James
Published: (2017)