NeuroTPR | net ToPonym Recognition model for extracting locations

by geoai-lab Python Version: 0.0.9 License: GPL-3.0

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

kandi X-RAY | NeuroTPR Summary

NeuroTPR is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. NeuroTPR has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However NeuroTPR build file is not available. You can install using 'pip install NeuroTPR' or download it from GitHub, PyPI.

NeuroTPR is a toponym recognition model designed for extracting locations from social media messages. It is based on a general Bidirectional Long Short-Term Memory network (BiLSTM) with a number of additional features, such as double layers of character embeddings, GloVe word embeddings, and contextualized word embeddings ELMo. The goal of this model is to improve the accuracy of toponym recognition from social media messages that have various language irregularities, such as informal sentence structures, inconsistent upper and lower cases (e.g., “there is a HUGE fire near camino and springbrook rd”), name abbreviations (e.g., “bsu” for “Boise State University”), and misspellings. We tested NeuroTPR in the application context of disaster response based on a dataset of tweets from Hurricane Harvey in 2017. More details can be found in our paper: Wang, J., Hu, Y., & Joseph, K. (2020): NeuroTPR: A Neuro-net ToPonym Recognition model for extracting locations from social media messages. Transactions in GIS, 24(3), 719-735. Figure 1. The overall architecture of NeuroTPR.

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Support

NeuroTPR has a low active ecosystem.

It has 11 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 63 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NeuroTPR is 0.0.9

Quality

NeuroTPR has no bugs reported.

Security

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

License

NeuroTPR is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Convert a Tweet
Add character in format
Builds a sparse matrix from sentences
Creates matrices with non - empty features
Annotate a text file on a text file
Generate an annotation file for a given sentence
Randomly flip a word
Determine if an entity exists
Iterate over a tweet
Writes a sentence to a file
Given a list of text and a list of text tags return a list of relevant tags
Compute the toponym sentence recognition
Compute the category of a given test article
Reads text from a file
Add an element to the dataset
Save a Keras model to disk
Run Nurotpr
Load a keras model from disk
Creates matrices for each sentence
Create sqlite3 connection
Insert record into toponyms table
Get character embedding
Create batches from the given data
Reads a text file
Processes a wiki page
Add character in text format

Get all kandi verified functions for this library.

NeuroTPR Key Features

No Key Features are available at this moment for NeuroTPR.

NeuroTPR Examples and Code Snippets

Use the pretrained NeuroTPR model

Python

Lines of Code : 10

License : Strong Copyleft (GPL-3.0)

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	conda create -n NeuroTPR python=3.6
	conda activate NeuroTPR
	conda install keras -c conda-forge
	pip install git+https://www.github.com/keras-team/keras-contrib.git
	pip install neurotpr

from neurotpr import geoparse
   
geoparse.load_model("the f

Retrain NeuroTPR using your own data

Python

Lines of Code : 2

License : Strong Copyleft (GPL-3.0)

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    python3 SourceCode/neurotpr/add_lin_features.py

    python3 SourceCode/neurotpr/train.py

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NeuroTPR

You can install using 'pip install NeuroTPR' or download it from GitHub, PyPI.
You can use NeuroTPR 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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