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Customers Sentiment Analysis Challenge for Telecom Sector in Tanzania

360 000 TZS
Completed (almost 3 years ago)
57 joined
47 active
InfoDataLeaderboard
Starti
Jun 19, 23
Closei
Jun 21, 23
Reveali
Jun 21, 23
About

The dLab team gathered customers' content (tweets) from Twitter that express sentiment about the telecom sector in Tanzania for different services and products provided by different telecom companies.

The data was preprocessed by removing links, emoji symbols, and punctuations.

The collected tweets were manually annotated using an overall polarity: positive (1), negative (-1) and neutral (0).

Files
Description
Files
This file describes the variables found in train and test.
Train contains the target. This is the dataset that you will use to train your model.
This is a starter notebook to help you make your first submission. If the file open weirdly you can ctrl-S and it will save to your download folder.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.

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