metadata

license: cc-by-nc-nd-4.0
task_categories:
  - text-classification
language:
  - en
  - fr
  - ja
  - it
  - de
tags:
  - code
  - finance

Reviews on Messengers Dataset - Review dataset

The Reviews on Messengers Dataset is a comprehensive collection of 200 the most recent customer reviews on 6 messengers obtained from the popular app store, Google Play. See the list of the apps below. This dataset encompasses reviews written in 5 different languages: English, French, German, Italian, Japanese.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset

The dataset's multilingual nature makes it useful for natural language processing tasks, sentiment analysis algorithms, and other machine learning applications that require diverse language data for training and evaluation.

The dataset can be highly valuable in training and fine-tuning machine learning models to automatically classify sentiments, predict customer satisfaction, or extract key information from customer reviews.

The data was scraped with google-play-scraper python lib by TrainingData Team.

Apps in the dataset and their IDs:

Telegram: 'org.telegram.messenger',
Facebook Messenger: 'com.facebook.orca',
Whats App: 'com.whatsapp',
Viber: 'com.viber.voip',
Snapchat: 'com.snapchat.android',
We Chat: 'com.tencent.mm'.

Languages in the dataset:

English: EN,
French: FR,
German: DE,
Italian : IT,
Japanese: JP

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

Content

For each item, we extracted:

reviewId: ID of the review,
userName: name of the reviewer,
userImage: profile image of the reviewer,
content: text of the review,
score: number of stars given to the review,
thumbsUpCount: number of likes on the review,
at: date of the review,
replyContent: text of the developer's comment,
repliedAt: date of the developer's comment,
appVersion: version of the app,
userLang: language of the review,
app_id: ID of the app

Try to find the messenger with the most attentive support 😉

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

keywords: app reviews, internet, mobile app reviews, google play store, android apps, web scraping, parsing, online database software, customers, reviews dataset, text dataset, ratings, user review data, consumer review data, sentiment analysis, llm dataset, language modeling, large language models, text classification, text mining dataset, natural language texts, nlp, nlp open-source dataset, text data