| dipanjanS/text-analytics-with-python |
1,073 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer. |
| foxbook/atap |
367 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
apache-2.0 |
Python |
| Code for Applied Text Analysis with Python |
| EmilHvitfeldt/smltar |
207 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
other |
TeX |
| Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge |
| ropensci/jstor |
45 |
|
0 |
0 |
over 2 years ago |
11 |
August 16, 2023 |
17 |
gpl-3.0 |
R |
| Import journal data from DfR (JSTOR) |
| walshbr/introduction-to-text-analysis |
22 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Python |
| walshbr/textanalysiscoursebook |
9 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
other |
CSS |
| IllusionInk/Mahabharata |
7 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A visualization of Mahabharata - the Indian Epic. An analysis of the charachters Karna and Arjuna from the text; exploring their appearances, descriptions and associations in the epic. |