{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/active-learning-in-annotating-micro-blogs","title":"Active learning in annotating micro-blogs dealing with e-reputation","arxiv_id":"1706.05349","date":"2017-06-16","proceeding":null,"authors":["Jean-Valère Cossu","Alejandro Molina-Villegas","Mariana Tello-Signoret"],"abstract":"Elections unleash strong political views on Twitter, but what do people\nreally think about politics? Opinion and trend mining on micro blogs dealing\nwith politics has recently attracted researchers in several fields including\nInformation Retrieval and Machine Learning (ML). Since the performance of ML\nand Natural Language Processing (NLP) approaches are limited by the amount and\nquality of data available, one promising alternative for some tasks is the\nautomatic propagation of expert annotations. This paper intends to develop a\nso-called active learning process for automatically annotating French language\ntweets that deal with the image (i.e., representation, web reputation) of\npoliticians. Our main focus is on the methodology followed to build an original\nannotated dataset expressing opinion from two French politicians over time. We\ntherefore review state of the art NLP-based ML algorithms to automatically\nannotate tweets using a manual initiation step as bootstrap. This paper focuses\non key issues about active learning while building a large annotated data set\nfrom noise. This will be introduced by human annotators, abundance of data and\nthe label distribution across data and entities. In turn, we show that Twitter\ncharacteristics such as the author's name or hashtags can be considered as the\nbearing point to not only improve automatic systems for Opinion Mining (OM) and\nTopic Classification but also to reduce noise in human annotations. However, a\nlater thorough analysis shows that reducing noise might induce the loss of\ncrucial information.","url_abs":"http://arxiv.org/abs/1706.05349v4","url_pdf":"http://arxiv.org/pdf/1706.05349v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"active-learning-in-annotating-micro-blogs","repo_url":"https://github.com/alemol/flat","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"active-learning-in-annotating-micro-blogs","repo_url":"https://github.com/ungeimer/Etiquetadorv1","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"active-learning-in-annotating-micro-blogs","repo_url":"https://github.com/ungeimer/FLAT-TextTagger","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"active-learning-in-annotating-micro-blogs","repo_url":"https://github.com/ungeimer/FLAT-lite","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"active-learning-in-annotating-micro-blogs","repo_url":"https://github.com/ungeimer/TextTagger-Docker","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"active-learning","task_name":"Active Learning"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"opinion-mining","task_name":"Opinion Mining"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"topic-classification","task_name":"Topic Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}