Orange3 Text
Orange add-on for text mining. It provides access to publicly available data, like NY Times, Twitter and PubMed. Further, it provides tools for preprocessing, constructing vector spaces (like bag-of-words, topic modeling and word2vec) and visualizations like word cloud end geo map. All features can be combined with powerful data mining techniques from the Orange data mining framework.
See documentation.
Features
Access to data
- Load a corpus of text documents
- Access publicly available data (The Guardian, NY Times, Twitter, Wikipedia, PubMed)
Text analysis
- Preprocess corpus
- Generate bag of words
- Embed documents into vector space
- Perform sentiment analysis
- Detect emotions in tweets
- Discover topics in the text
- Compute document statistics
- Visualize frequent words in the word cloud
- Find words that enrich selected documents
6 maintainers
Release files for Orange3-Text 1.16.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_text-1.16.3.tar.gz | 30.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_text-1.16.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 68.4 MB
Release files / orange3_text-1.16.3.tar.gz
| Download URL | orange3_text-1.16.3.tar.gz |
|---|---|
| Size | 30.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
57fc6d212173ca59544ce5ed1d9473c37324b39e346191c211ef81743711d497
|
|
BLAKE2b-256 checksum How to use checksums |
1227ac826f3652ed97076a6b48a0ce13502335f0b9ef7f28dd29e028ffc6fe85
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / orange3_text-1.16.3-py3-none-any.whl
| Download URL | orange3_text-1.16.3-py3-none-any.whl |
|---|---|
| Size | 38.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9fc20378e5d0b67bb53bf4a2e20cb63a9bd0dc21e8907c4f2414dca9edcb356e
|
|
BLAKE2b-256 checksum How to use checksums |
3a11e7c0fdf291e007aade444bbd59e0a76e0c7348df12613f2aaeacc923f35e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
