soan | Social Analysis based on Whatsapp data | Natural Language Processing library
kandi X-RAY | soan Summary
kandi X-RAY | soan Summary
soan is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. soan has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Code for applying natural language processing methods on whatsapp conversations. SoAn (Social Analysis) can be used to extract word frequency, word clouds, TF-IDF, sentiment analysis, and more from whatsapp conversations. The main application was initially used to analyze the messages between my wife and me, but I extended so that it can be used for your own messages.
Code for applying natural language processing methods on whatsapp conversations. SoAn (Social Analysis) can be used to extract word frequency, word clouds, TF-IDF, sentiment analysis, and more from whatsapp conversations. The main application was initially used to analyze the messages between my wife and me, but I extended so that it can be used for your own messages.
Support
Quality
Security
License
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Support
soan has a low active ecosystem.
It has 123 star(s) with 64 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 1 have been closed. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of soan is current.
Quality
soan has no bugs reported.
Security
soan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
soan is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
soan releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed soan and discovered the below as its top functions. This is intended to give you an instant insight into soan implemented functionality, and help decide if they suit your requirements.
- Print statistics for each user
- Determine the words of a message
- Prints a title
- Get the common color for each cluster
- Euclidean distance between two points
- Return a list of color points from an image
- Clean dataframe
- Remove the user from a row
- Remove inactive users
- Calculates the unique words per user
- Calculate the unique word unique value
- Compute TF IDF
- Extract topics
- Print the top words of the model
- Plot a set of colors
- Convert a hex color to HSV
- Extract emojson data
- Extract emoji from string
- Calculate the timing of a dataframe
- Print the sentiment of each user
- Prints the sentiment of each user
- Parse command line arguments
Get all kandi verified functions for this library.
soan Key Features
No Key Features are available at this moment for soan.
soan Examples and Code Snippets
No Code Snippets are available at this moment for soan.
Community Discussions
Trending Discussions on soan
QUESTION
How to make a table from a class nesting dictionaries in python?
Asked 2019-Aug-13 at 06:37
I'm trying to make a table to do fuzzy string matching with data pulled from HubSpot database. Luckily I found a library which allows me to connect to the server through RESTful API.
The results that I get look like:
...ANSWER
Answered 2019-Aug-13 at 06:37Following your edit this seems like it would work directly:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install soan
You can download it from GitHub.
You can use soan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use soan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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