twitter_opinion_mining | inferring tweets opinion from hashtag co

by alexbovet Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | twitter_opinion_mining Summary

twitter_opinion_mining is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. twitter_opinion_mining has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However twitter_opinion_mining build file is not available. You can download it from GitHub.

Algorithm for inferring tweets opinion from hashtag co-occurence network. See the file Twitter_opinion_mining_example_run.ipynb for a tutorial about how to use it. See Bovet, A., Morone, F. & Makse, H. A. Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump. Sci. Rep. 8, 8673 (2018). for details.

Support

Quality

Security

License

Reuse

Support

twitter_opinion_mining has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

twitter_opinion_mining has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of twitter_opinion_mining is current.

Quality

twitter_opinion_mining has no bugs reported.

Security

twitter_opinion_mining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

twitter_opinion_mining is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

twitter_opinion_mining releases are not available. You will need to build from source code and install.

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

Runs the training set
Tokenize a text
Lower case
Normalize mentions
Initialize the tweets
Creates a sqlite database
Create a sqlite3 tables
Create indexes
Run the job
Apply func to each group
Returns True if running from IPython
Run the classifier
Classify a given text
Run the model
Get a dictionary of timestamps
Gets the weak loc for a given userlist
Compute the significance of an edge
Compute the significance of the graph
Get the influence of a tweet
Run the job
Classify text
Run the pipeline
Run the main routine
Run the graph
Run the regression
Run classification

Get all kandi verified functions for this library.

twitter_opinion_mining Key Features

No Key Features are available at this moment for twitter_opinion_mining.

twitter_opinion_mining Examples and Code Snippets

No Code Snippets are available at this moment for twitter_opinion_mining.

Community Discussions

No Community Discussions are available at this moment for twitter_opinion_mining.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install twitter_opinion_mining

You can download it from GitHub.
You can use twitter_opinion_mining 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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