Nature-themed apps, 2013 : data scrape of Google Play

Nature-themed apps, 2013 : data scrape of Google Play

Data generated from a randomized English-language data scrape of Google Play Store between February and April 2013 using nature-related search words. This returned .36,304 apps that were manually reviewed by two people working together to remove nonn-nature-related apps - semantic complexity preclu...

Bibliografski detalji
Glavni autori:	Jepson, P, Abele, S, Ladle, R
Format:	Dataset
Jezik:	English
Izdano:	University of Oxford 2015

Slični predmeti

Nature apps on Google Play April 2013
od: Jepson, P, i dr.
Izdano: (2017)

Nature apps: Waiting for the revolution
od: Jepson, P, i dr.
Izdano: (2015)

Google Play Content Scraping and Knowledge Engineering using Natural Language Processing Techniques with the Analysis of User Reviews
od: Aldabbas Hamza, i dr.
Izdano: (2020-07-01)

Evaluating the Dietary and Nutritional Apps in the Google Play Store
od: Harleigh Schumer, i dr.
Izdano: (2018-01-01)

A longitudinal study of financial apps in the Google Play Store
od: Taylor, V, i dr.
Izdano: (2017)

Development of a data visualization system using Google Play Store Apps dataset
od: Wu, Xi
Izdano: (2020)

Web Scraping with HTML DOM Method for Data Collection of Scientific Articles from Google Scholar
od: Alam Rahmatulloh, i dr.
Izdano: (2020-02-01)

Insights from Google Play Store User Reviews for the Development of Weight Loss Apps: An App Market Review
od: Frie, K, i dr.
Izdano: (2017)

A web scraping app for smart literature search of the keywords
od: Muhammed Ali Mutlu, i dr.
Izdano: (2024-10-01)

Data Analysis of Bulacan State University Faculty Scientific Publication Based on Google Scholar using Web Data Scraping Technique
od: Jayson M. Victoriano, i dr.
Izdano: (2022-02-01)

Analysis and Classification of Mobile Apps Using Topic Modeling: A Case Study on Google Play Arabic Apps
od: Ahlam Fuad, i dr.
Izdano: (2021-01-01)

Gamification for Diabetes Type 1 Management: A Review of the Features of Free Apps in Google Play and App Stores
od: Alsalman D, i dr.
Izdano: (2020-05-01)

Introduction to Google Apps : personal apps /
od: Miller, Michael, 1958-
Izdano: (c201)

Google apps for dummies /
od: 178373 Teeter, Ryan, i dr.
Izdano: (2008)

Scraped Data and Sticky Prices
od: Cavallo, Alberto F.
Izdano: (2018)

A Semi-Automatic Data–Scraping Method for the Public Transport Domain
od: Belen Vela, i dr.
Izdano: (2019-01-01)

Scrape or Perish: The importance of skin scraping in erythroderma
od: Mamta V Kamath, i dr.
Izdano: (2011-01-01)

Predicting android app success before google play store launch using machine learning
od: Aleem, Muhammad, i dr.
Izdano: (2024)

Getting started with Google Apps /
od: 192197 Darbyshire, Paul, i dr.
Izdano: (c201)

Governing bird-keeping in Java and Bali: evidence from a household survey
od: Jepson, P, i dr.
Izdano: (2009)

Bird-keeping in Indonesia: conservation impacts and the potential for substitution-based conservation responses
od: Jepson, P, i dr.
Izdano: (2005)

Toward a biocultural theory of avoided extinction
od: Ladle, R, i dr.
Izdano: (2008)

Sentiment Analysis on WeTV App Reviews on Google Play Store Using NBC and SVM Algorithms
od: Petronilia Palinggik Allorerung, i dr.
Izdano: (2023-05-01)

The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores
od: Tyler Lieser, i dr.
Izdano: (2022-10-01)

The Quality of Health Apps and Their Potential to Promote Behavior Change in Patients With a Chronic Condition or Multimorbidity: Systematic Search in App Store and Google Play
od: Alessio Bricca, i dr.
Izdano: (2022-02-01)

To scrape or not to scrape, this is dilemma. The post-API scenario and implications on digital research
od: Domenico Trezza
Izdano: (2023-03-01)

Unveiling User Sentiment: Aspect-Based Analysis and Topic Modeling of Ride-Hailing and Google Play App Reviews
od: Viktor Handrianus Pranatawijaya, i dr.
Izdano: (2024-10-01)

Sentiment Analysis of Telegram App Reviews on Google Play Store Using the Support Vector Machine (SVM) Algorithm
od: Nofsa Atia Nevrada, i dr.
Izdano: (2025-01-01)

Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis
od: Frie, Kerstin, i dr.
Izdano: (2017-12-01)

A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak
od: Alanzi T
Izdano: (2021-01-01)

Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application
od: Miznah Al-Abbadey, i dr.
Izdano: (2021-05-01)

Macroanalysis of Hand Scraping
od: Kai Oßwald, i dr.
Izdano: (2020-09-01)

Dozing and scraping [kasetvideo]
Izdano: (1970)

Dozing and scraping [filem]
Izdano: (1970)

What You Can Scrape and What Is Right to Scrape: A Proposal for a Tool to Collect Public Facebook Data
od: Moreno Mancosu, i dr.
Izdano: (2020-07-01)

Sentiment Analysis of Google Play Store User Reviews on Digital Population Identity App Using K-Nearest Neighbors
od: Rudi Kurniawan, i dr.
Izdano: (2024-06-01)

Social media app ecology at Google Play Store from the perspective of digital methods and network analysis for social media
od: Jan Alyne Barbosa Prado, i dr.
Izdano: (2018-08-01)

Fields of gold: scraping web data for marketing insights
od: Boegershausen, J, i dr.
Izdano: (2022)

Leveraging Web Scraping to Gather Tourism Information Data
od: Kamarazaman, Nadzirah, i dr.
Izdano: (2024)

The Value of Web Data Scraping: An Application to TripAdvisor
od: Gianluca Barbera, i dr.
Izdano: (2023-06-01)