SO-CAL | Semantic Orientation Calculator for Sentiment Analysis | Predictive Analytics library

by sfu-discourse-lab Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SO-CAL Summary

SO-CAL is a Python library typically used in Analytics, Predictive Analytics applications. SO-CAL has no bugs, it has no vulnerabilities and it has low support. However SO-CAL build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Semantic Orientation Calculator for Sentiment Analysis

Support

Quality

Security

License

Reuse

Support

SO-CAL has a low active ecosystem.

It has 40 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SO-CAL is current.

Quality

SO-CAL has 0 bugs and 0 code smells.

Security

SO-CAL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SO-CAL code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SO-CAL has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

SO-CAL releases are not available. You will need to build from source code and install.

SO-CAL has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed SO-CAL and discovered the below as its top functions. This is intended to give you an instant insight into SO-CAL implemented functionality, and help decide if they suit your requirements.

Return the number of equivalent adjective
Return the highlighter at the given index
Return whether the given word is at the given index
Apply other modifiers to text
Get the SO value for an adjective
Convert the stem of an adjective adjective into an Aleph
Return the stem of the stem of a stem
Convert stem to adjacency
Return the verbosity of a given word
Stem a verb
Find the index of the verb in the given index
Helper function to apply weights
Generate a CSV file from a basic output
Get command line arguments
Process POS tags
Sum the number of words in a dictionary
Read a gold file
Get the sentence containing the given index
Get the sentence number
Fix all caps
Create a gold file
Gets the configuration settings from a in file
Load all dictionaries
Fill the text and weights from the text file
Generate rich output JSON file
Return the noun of a given index

Get all kandi verified functions for this library.

SO-CAL Key Features

No Key Features are available at this moment for SO-CAL.

SO-CAL Examples and Code Snippets

No Code Snippets are available at this moment for SO-CAL.

Community Discussions

Trending Discussions on SO-CAL

How to avoid unrelated data from postgresql search

How to avoid unrelated data from sql search

QUESTION

How to avoid unrelated data from postgresql search

Asked 2020-Oct-15 at 04:35

I want to get the data to contain keyword of both "LED" and "car"

...

ANSWER

Answered 2020-Oct-15 at 04:30

Assuming you want to check for the presence of both LED and car, anywhere in the description column, you could try:

Source https://stackoverflow.com/questions/64364854

QUESTION

How to avoid unrelated data from sql search

Asked 2020-Oct-13 at 07:45

When I search postgresql with this code

...

ANSWER

Answered 2020-Oct-13 at 07:45

Use word boundaries:

Source https://stackoverflow.com/questions/64330695

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SO-CAL

You can download it from GitHub.
You can use SO-CAL 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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