Interesting-phrase mining for ad-hoc text analytics
Author:
Affiliation:
1. Max-Planck-Institut für Informatik, Saarbrücken, Germany
2. Saarland University, Saarbrücken, Germany
Publisher
VLDB Endowment
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Link
https://dl.acm.org/doi/pdf/10.14778/1920841.1921007
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. ConPhrase: Enhancing Context-Aware Phrase Mining from Text Corpora;IEEE Transactions on Knowledge and Data Engineering;2022
2. Combining Ad Hoc Text Mining and Descriptive Analytics to Investigate Public EV Charging Prices in the United States;Energies;2021-08-24
3. High quality error-tolerant phrase mining on text corpus;Expert Systems with Applications;2021-06
4. Mining Infrequent High-Quality Phrases from Domain-Specific Corpora;Proceedings of the 29th ACM International Conference on Information & Knowledge Management;2020-10-19
5. Multidimensional Mining of Massive Text Data;Synthesis Lectures on Data Mining and Knowledge Discovery;2019-03-21
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