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location-prediction-on-twitter-using-machine-learning-techniques

This project applies machine learning techniques to predict the geographical location of Twitter users based on tweet content and metadata. It leverages natural language processing and classification models to estimate user locations with improved accuracy. Ask ChatGPT

https://github.com/beefathima-git/location-prediction-on-twitter-using-machine-learning-techniques

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

This project applies machine learning techniques to predict the geographical location of Twitter users based on tweet content and metadata. It leverages natural language processing and classification models to estimate user locations with improved accuracy. Ask ChatGPT

Basic Info
  • Host: GitHub
  • Owner: beefathima-git
  • License: apache-2.0
  • Default Branch: main
  • Size: 9.77 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 7 months ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

Location-prediction-on-Twitter-using-Machine-learning-Techniques

This project applies machine learning techniques to predict the geographical location of Twitter users based on tweet content and metadata. It leverages natural language processing and classification models to estimate user locations with improved accuracy. Ask ChatGPT

Owner

  • Login: beefathima-git
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Lin"
  given-names: "Victor San Kho"
  orcid: "https://orcid.org/0000-0002-3940-4729"
title: "tweetlocml - Geolocation of Tweets with Machine Learning"
version: v20161128
doi: 10.5281/zenodo.7217486
date-released: 2022-10-17
url: "https://github.com/victorskl/tweetlocml"

GitHub Events

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  • Push event: 1

Dependencies

pom.xml maven
  • args4j:args4j 2.33
  • com.google.guava:guava 31.1-android
  • com.opencsv:opencsv 5.7.0
  • commons-codec:commons-codec 1.15
  • commons-io:commons-io 2.11.0
  • info.debatty:java-string-similarity 2.0.0
  • nz.ac.waikato.cms.weka:weka-stable 3.8.6
  • org.apache.commons:commons-collections4 4.4
  • org.apache.commons:commons-configuration2 2.8.0
  • org.apache.logging.log4j:log4j-api
  • org.apache.logging.log4j:log4j-core
  • org.apache.lucene:lucene-core 9.4.0
  • org.apache.lucene:lucene-suggest 9.4.0
  • org.apache.opennlp:opennlp-tools 1.9.4
  • junit:junit 4.13.2 test
  • org.hamcrest:hamcrest-library 2.2 test