@inproceedings{e6a48327c51b4a42a4c33d108f2354c0,
title = "Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition",
abstract = "Twitter Accounts Suggestion is concerned with recommending accounts for the users according to their tweet contents. Twitter contains a massive amount of data that can be useful for knowing each user's preferences. This paper uses Named Entity Recognition (NER), one of the techniques used in Natural Language Processing (NLP). We propose a pipeline technique to analyze the textual content of tweets to recommend the proper user accounts (people or organizations) to facilitate mentioning other user accounts in the tweets.",
keywords = "Accounts, Named Entity Recognition, Natural Language Processing, Recommendation, Twitter",
author = "Shabbab Algamdi and Abdullah Albanyan and Shah, \{Sayed Khushal\} and Zeenat Tariq",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",
year = "2022",
doi = "10.1109/BigData55660.2022.10020570",
language = "English",
series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5121--5125",
editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and \{Van den Poel\}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",
booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
address = "United States",
}