A text analysis tool with readability, power word analysis, and NER visualization.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
The Text Monger
A package that combines:
- Readability Scoring
- Power Words Distribution
- Sentiment Analysis
- Named Entity Recognition
mostly through predefined packages and a csv file (for power words).
Installation
You can install The Text Monger package using pip:
pip install textmonger
Usage
To pseudo-analyze a piece of text, simply run the following command in your terminal:
textmonger
You will be prompted to enter the text. Type or paste your text, and when you're done, type END on a new line to finish input. The tool will then do the work that it's made to do!
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file textmonger-1.0.3.tar.gz.
File metadata
- Download URL: textmonger-1.0.3.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ac621442af883566074480fc48a17d801588c9e9db657719b8cd7439d2d6fc4
|
|
| MD5 |
da3ca24a1bb149be6e3e6fe8014b7be0
|
|
| BLAKE2b-256 |
fcc3cd1e4c092c85738f806ea532242ea43b4aeefb0169ae609bcc8071d7ab60
|
Provenance
The following attestation bundles were made for textmonger-1.0.3.tar.gz:
Publisher:
publish.yml on oceanthunder/textmonger
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
textmonger-1.0.3.tar.gz -
Subject digest:
9ac621442af883566074480fc48a17d801588c9e9db657719b8cd7439d2d6fc4 - Sigstore transparency entry: 779762957
- Sigstore integration time:
-
Permalink:
oceanthunder/textmonger@ba58eaf43e652f377f04319d442677828a1d6a6f -
Branch / Tag:
refs/tags/v1.0.3 - Owner: https://github.com/oceanthunder
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@ba58eaf43e652f377f04319d442677828a1d6a6f -
Trigger Event:
push
-
Statement type:
File details
Details for the file textmonger-1.0.3-py3-none-any.whl.
File metadata
- Download URL: textmonger-1.0.3-py3-none-any.whl
- Upload date:
- Size: 10.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1265dbc58e4ff007dd17086745461e6ea3ac5cf83468d234e709946368510568
|
|
| MD5 |
fa375a26fb3b42eba62f8f7f0079c8b1
|
|
| BLAKE2b-256 |
5c4656187938a5425c296995c4c1c3562581ea295cddd3686991f20b257f9cf8
|
Provenance
The following attestation bundles were made for textmonger-1.0.3-py3-none-any.whl:
Publisher:
publish.yml on oceanthunder/textmonger
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
textmonger-1.0.3-py3-none-any.whl -
Subject digest:
1265dbc58e4ff007dd17086745461e6ea3ac5cf83468d234e709946368510568 - Sigstore transparency entry: 779762958
- Sigstore integration time:
-
Permalink:
oceanthunder/textmonger@ba58eaf43e652f377f04319d442677828a1d6a6f -
Branch / Tag:
refs/tags/v1.0.3 - Owner: https://github.com/oceanthunder
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@ba58eaf43e652f377f04319d442677828a1d6a6f -
Trigger Event:
push
-
Statement type:
