منابع مشابه
UAMCLyR at RepLab 2014: Author Profiling Task
This paper describes the participation of the Language and Reasoning Group of UAM at RepLab 2014 Author Profiling evaluation lab. This task involves author categorization and author ranking subtasks. Our method for author categorization uses a supervised approach based on the idea that we can use the information on Twitter’s user profile, then by means of employing an attribute selection techni...
متن کاملUNED at CLEf RepLab: Author Profiling
This paper describes a learning system developed for the RepLab 2014 author profiling task at UNED. The system uses a voting model, which employs a small set of features based mainly on the tweet text information such as POS tags, number of hashtags or number of links. In the unofficial run, the feature set was increased with Twitter metadata such as number of followers or retweet speed. The sy...
متن کاملUniNE at CLEF 2017: Author Profiling Reasoning
This paper describes and evaluates a supervised author profiling model. The suggested strategy can be adapted without any problem to various languages (such as Arabic, English, Spanish, and Portuguese). As features, we suggest using the m most frequent terms of the query text (isolated words and punctuation symbols with m at most 200). Applying a simple distance measure and looking at the neare...
متن کاملUniNE at CLEF 2016: Author Profiling
This paper describes and evaluates an author profiling model called SPATIUM-L1. The suggested strategy can be adapted without any problem to different Indo-European languages (such as Dutch, English, and Spanish). As features, we suggest using the m most frequent terms of the query text (isolated words and punctuation symbols with m at most 200). Applying a simple distance measure and looking a...
متن کاملOverview of the Author Profiling Task at PAN 2013
This overview presents the framework and results for the Author Profiling task at PAN 2013. We describe in detail the corpus and its characteristics, and the evaluation framework we used to measure the participants performance to solve the problem of identifying age and gender from anonymous texts. Finally, the approaches of the 21 participants and their results are described.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SN Computer Science
سال: 2020
ISSN: 2662-995X,2661-8907
DOI: 10.1007/s42979-020-0073-1