Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

By G. Miner, J. Elder, T. Hill, R. Nisbet, Dursun Delen, A. Fast. 2012

557 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/f9c14367818a4856675ec53e1fc85ce6d40571da

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

1. Hossein Hassani
2. Mohamed M. Mostafa
3. Maedeh Taj Mazinani
4. Stephane Unger
5. Christina Beneki
6. Mohammad Reza Yeganegi

Citations in the corpus

• Text Mining in Big Data Analytics (2020, methodology): “[37] proposed a pre-processing method by removing stopwords (e.”
• More than words: Social networks' text mining for consumer brand sentiments (2013, methodology): “In this study we used the Hu and Liu (2004) lexicon to conduct the analysis because this dictionary has been used successfully in a similar application (Miner et al., 2012).”