A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
By Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, S. Safaei, Elizabeth D. Trippe, Juan B. Gutiérrez, Krys J. Kochut. arXiv.org, 2017
567 citations recorded by the source corpus.
The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from text, which has gained significant attentions in recent years. In this paper, we describe several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering. Additionally, we briefly explain text mining in biomedical and health care domains.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ec5b6bde57aaee1f6e5d3d4f5fb558979371a1d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ammar Ismael Kadhim
- Krys J. Kochut
- Seyedamin Pouriyeh
- S. Safaei
- Mehdi Assefi
- Juan B. Gutiérrez
- Mehdi Allahyari
- Iqbal H. Sarker
In Molecular Biology
Citations in the corpus
- Survey on supervised machine learning techniques for automatic text classification (2019, methodology): “,cq} and a new document q, which is generally indicated as the query, will forecast the query’s class, which goes to one or more of the classes in C (Allahyari et al. 2017).”
- Tempura: Query Analysis with Structural Templates (2020, methodology): “Meanwhile, without isolating features, researchers have also tried to organize the dataset by automatically classifying [36, 3] or clustering [1] similar queries together.”
- Text Summarization Techniques: A Brief Survey (2017, background): “Other examples include news websites which produce condensed descriptions of news topics usually as headlines to facilitate browsing or knowledge extractive approaches [8, 61, 72].”
- AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems (2022, background): “Text mining [7], also known as text data mining, similar to text analytics, is the process of extracting meaningful information from a variety of text or written re-”