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Short technical text classification
2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet), 2021Iulia-Maria Florea +2 more
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Enhancing Short Text Retrieval in Databases
2006In this paper, we present a mechanism to deal with short text structures in relational databases. Text fields are transformed into a special knowledge representation named AP-structure based on the Apriori algorithm of the mining area. Once the abstract data type is obtained, the text fields can be summarized, mined, and queried in a easy way.
Nicolás Marín Ruíz +3 more
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Clustering short texts using wikipedia
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007Subscribers to the popular news or blog feeds (RSS/Atom) often face the problem of information overload as these feed sources usually deliver large number of items periodically. One solution to this problem could be clustering similar items in the feed reader to make the information more manageable for a user. Clustering items at the feed reader end is
Somnath Banerjee +2 more
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Short Text Classification Based on Semantics
2015Data sparseness and unseen words are two major problems in short text classification. In such a case, it is unsuitable to directly use the vector space model (VSM) which focuses on the statistical occurrence of the terms to represent the text. To solve these problems, we present a novel short text classification method based on semantics. The method of
Chenglong Ma +4 more
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Topic Classification for Short Texts
International Conference on Information Systems Development, 2022Dan Claudiu Neagu +4 more
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Diagnosis of Depression Based on Short Text
2019Depression has become a serious global disease which can harm to mental health. Diagnosis of depression is a complicated process, and needs a great deal of specialist knowledge. A person’s social network behavior can reflect his/her real psychological.
Jinghua Zheng, Jianli Bian, Jincheng Jia
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Similarity Measures for Short Segments of Text
2007Measuring the similarity between documents and queries has been extensively studied in information retrieval. However, there are a growing number of tasks that require computing the similarity between two very short segments of text. These tasks include query reformulation, sponsored search, and image retrieval.
Donald Metzler +2 more
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Tracking Topic Trends for Short Texts
2017It is a critical task to infer discriminative and coherent topics from short texts. Furthermore, people not only want to know what kinds of topics can be extract from these short texts, but also desire to obtain the temporal dynamic evolution of these topics.
Liyan He, Yajun Du, Yongtao Ye
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Semantic Enriched Short Text Clustering
2017The paper is devoted to the issue of clustering short texts, which are free answers gathered during brain storming seminars. Those answers are short, often incomplete, and highly biased toward the question, so establishing a notion of proximity between texts is a challenging task.
Marek Kozlowski, Henryk Rybinski
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Classification of Short Legal Lithuanian Texts. [PDF]
, 2015 Statistical analysis of parliamentary roll call votes is an important topic in political science because it reveals ideological positions of members of parliament (MP) and factions. However, it depends on the issues debated and voted upon. Therefore, analysis of carefully selected sets of roll call votes provides a deeper knowledge about MPs.
Mickevičius, Vytautas +2 more
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