Datasets › Twitter job title prediction
Twitter job title prediction
We introduce a dataset consisting of 1314 samples, including users’ tweets and bios. The user’s job title is found using Wikipedia crawling. The challenge of multiple job titles per user is handled using a semantic word embedding and clustering method. Then, a job prediction method is introduced based on a deep neural network and TF-IDF word embedding. We also use hashtags and emojis in the tweets for job prediction. Results show that the job title of users in Twitter could be well predicted with 54% accuracy in nine categories.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
cc-by-sa-4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Twitter job title prediction
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