Text Mining
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Please cite the following paper when using this dataset:
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725 Views
To download the dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13738598
Please cite the following paper when using this dataset:
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1001 Views
The biographies_EN dataset contains 1000 biographies of literature writers retrieved from the english version of Wikipedia.
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99 Views
Several fields of study can benefit from a large, structured, and accurate dataset of historical figures. Due to a lack of such a dataset, in this paper, we aim to use machine learning and text mining models to collect, predict, and cleanse online data with a focus on age and gender. We developed a five-step method and inferred birth and death years, binary gender, and occupation from community-submitted data to all language versions of the Wikipedia project.
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1114 Views
This dataset contains information about Android app users’ reviews crawled from https://play.google.com/store/apps from 2022/4/2 to 2022/4/14. User reviews of 24 Korean trading apps were collected from Google Play Store, and the total number of the collected reviews is 41,705. App name, user ID, review content, rating, and date information were collected for each review by web crawling. The entire dataset is in Korean.
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181 Views
This dataset contains job and their skills extracted from the job adverisments.
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2372 Views
The "RetroRevMatchEvalICIP16" dataset provides a retrospective reviewer recommendation dataset and evaluation for IEEE ICIP 2016. The methodology via which the recommendations were obtained and the evaluation was performed is described in the associated paper.
Y. Zhao, A. Anand, and G. Sharma, “Reviewer recommendations using document vector embeddings and a publisher database: Implementation and evaluation,” IEEE Access, vol. 10, pp. 21 798–21 811, 2022. https://doi.org/10.1109/ACCESS.2022.3151640
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280 Views
This dataset includes 24,201,654 tweets related to the US Presidential Election on November 3, 2020, collected between July 1, 2020, and November 11, 2020. The related party name and sentiment scores of tweets, also the words that affect the score were added to the data set.
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7291 Views