Skip to main content

mental_models

Extracts human mental models from text and facilitates mental model comparison and contrasting. An alternative implementation of "AutoMap," see: J Diesner, K M Carley, "AutoMap1.2 - Extract, analyze, represent, and compare mental models from texts" (2003) for more background details.

Install

pip install mental_models
#  then Build as below

Build

This library assumes that several models and datasets are available. You can run the command below to build them.

#  ... need a small language model 
python -m spacy download en_core_web_sm
# ... adds in WordNet tokenization for spaCy
python -m nltk.downloader wordnet
python -m nltk.downloader omw

Metadata

Release files for mental-models 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mental-models 0.1.5
File Size Uploaded
mental models-0.1.5.tar.gz 4.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mental-models 0.1.5
File Interpreter ABI Platform
mental_models-0.1.5-py3-none-any.whl Python 3 none any Details

Total release size: 10.4 kB

Release files / mental models-0.1.5.tar.gz

Download URL mental models-0.1.5.tar.gz
Size 4.4 kB
Tags Source
SHA-256 checksum
How to use checksums
83d48cfab0ad289d22806ac205293519699a265c9a6a8f2b6ec4497f5037fd75
BLAKE2b-256 checksum
How to use checksums
2289b01d8ad41d26d81574791abde6265d6bd5339c7122a33755d41654b9b6a2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4

Release files / mental_models-0.1.5-py3-none-any.whl

Download URL mental_models-0.1.5-py3-none-any.whl
Size 6.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fe988ba4b501af287df508eb720c81f165039912085b9fc2950f2c7536c07051
BLAKE2b-256 checksum
How to use checksums
70fc439e2b2bd7cdf080c664ddcf7e86d80708b3ade83103616df6edbbeec1e7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4

Release history Release notifications | RSS feed

This release

0.1.5 This release

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page