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STC Customer Service Twitter Reviews
Social Media and Posts
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Data provides a repository of public reviews related to the STC service within Saudi Arabia, collected between 2015 and 2021. The resource contains over 10,000 pre-processed tweets, gathered using specific keywords relevant to the service. This collection is essential for sentiment analysis, allowing analysts to create models that classify customer feedback as positive, negative, or neutral, thereby helping companies understand customer behaviour and gauge public opinion toward their services.
Columns
The dataset contains attributes related to user engagement and the full content of the posts:
- id: The unique numerical identifier assigned to the tweet.
- date: The specific date and time when the tweet was posted, spanning from 2 January 2015 to 26 January 2021.
- user_id: The unique identifier for the user posting the tweet.
- name: The display name of the user. The most common entry is 'العناية بالعملاء stc السعودية'.
- retweet: A Boolean value indicating whether the tweet is a retweet. All 10.8k records are recorded as False.
- nlikes: The total count of how many times the specific tweet has been liked, with a maximum recorded count of 52 and a mean of 0.14.
- nreplies: The total count of replies received by the specific tweet, reaching a maximum count of 33 and averaging 0.55.
- nretweets: The total count of times the specific tweet has been re-tweeted, reaching a maximum of 43 and a mean of 0.05.
- tweet4: The main text content posted by the user.
Distribution
The information is available in a CSV file named
stc_tweets_after_final_cleaning_ver5.csv, which has a size of 2.86 MB. The dataset includes 10.8k total records. All columns are 100% valid, ensuring data quality across the records.Usage
This resource is ideally suited for developing machine learning models aimed at sentiment analysis. It can be used to classify customer feedback into categories like positive, negative, or neutral. Analysts can leverage this data to understand specific drivers of customer satisfaction or dissatisfaction, providing valuable intelligence for enhancing service quality and informing business strategy.
Coverage
The material captures social media reviews specifically concerning the STC service operating within Saudi Arabia. The time period covered extends from 2015 through 2021, providing a multi-year view of customer interactions. The data is static and is not expected to receive any future updates.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for beginner data scientists, researchers, and business analysts interested in text mining and customer relationship management. It is valuable for anyone looking to apply natural language processing techniques to real-world social media data to model customer behaviour. The usability rating is 10.00.
Dataset Name Suggestions
- STC Customer Service Twitter Reviews
- Saudi Arabia Telecom Sentiment Analysis Data
- STC Service Social Media Feedback 2015-2021
Attributes
Original Data Source: STC Customer Service Twitter Reviews
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