Within the last years tm has gained interest from a variety of researchers and users of different backgrounds. In an attempt to inform new users about existing tm applications this site aims to provide (an incomplete alphabetical) list of tm users and their comments. Known users range from research institutes over companies to individuals.
If you use tm and feel comfortable please contact us (feinerer at logic dot at) and send us your feedback! If you want to be included in this list, please provide information on your tm use case and/or comments and who you are (name, affiliation, academics/company/private use).
of Minnesota, USA) says:
I appreciate your work on the tm library for R.
António Jóse Rosas
(Universidade do Porto,
It works nicely. All the package is fantastic, it runs without problems, and is very powerful and useful. ... I ... apply your tm package to the study of the RSS feeds of the two main portuguese political parties.
Rochester, USA) says:
I recently came across your tm package for R, and it looks great. I am a political scientist working on text analysis of various treaties signed between native Americans and the US government.
Bhaskaran Nair (Inland
Revenue Department, New Zealand) says:
I really enjoyed working with tm in R for my project on customer satisfaction survey in Inland Revenue New Zealand. It has many useful features that are easy to handle. Thank you.
- Bjorn Hoyland (University of Oslo, Norway) and Jean-François Godbout (Simon Fraser University, Canada) wrote a paper on predicting party group affiliation from European Parliament debates using tm for their experiments.
- Daniel Perrucho (UBS, Switzerland) uses tm to semi-automatically extract asset statements from business documents.
Debbie Zhang (Australian Taxation Office, Australia) says:
I am working on a text mining project ... using tm package in R.
Dietmar Janetzko (National
College of Ireland, Ireland) says:
Vor kurzem habe ich das R Paket tm entdeckt, dass ich ausgesprochen interessant finde.
Eileen Hlavka (RAND Corporation, USA) says:
I have been using your "tm" package for text mining in R; thank you for it, it is very helpful.
(University of Houston,
I am a professor in Political Science at the University of Houston and we are working on a project on network analysis using text as data. Your package TM is perfect for collecting the data ...
- Florian Kleedorfer (Research Studios Austria, Austria), Peter Knees (Johannes Kepler University Linz, Austria), and Tim Pohle (Johannes Kepler University Linz, Austria) wrote a paper on automatic topic detection in song lyrics using tm for their experiments.
- Gary King (Harvard University, USA) and his team created RSNL, an open source software platform for the statistical analysis of unstructured textual data. RSNL uses tm as middleware component for interfacing R and its application layer.
- Gero Schwenk (Goethe-Universität Frankfurt am Main, Germany) deployed tm in a social science course he gave at the Justus-Liebig-Universität Gießen (Germany).
Mendès-France University of Grenoble) says:
I am assistant professor ... in Grenoble (France) and quite involved in sociological research projects that focus on media corpus and their statistical exploration. ... I have been very interested by your presentation of tm.
Greg Pierce (Cleveland
Clinic, USA) says:
I think it's a fantastic addition to R.
Indiogine (Texas A&M
I recently started using the "tm" package for my dissertation research. I am very impressed by its powerful capabilities for the analysis of large volumes of texts. I do critical discourse analysis of the political texts of the U.S. government on the subject of mathematics education and the achievement gaps.
Jan Hornych says:
Thanks for putting together this interesting package in R. ... I am trying to use it on "user comments", which is very short text.
tm de Ingo Feinerer évolue rapidement et est d'excellente qualité.
de Barcelona, Spain) says:
I am currently finishing my PhD thesis in Political Science at the University of Barcelona and at the Institute of Law and Technology (UAB), and I've found your tm R package really useful for some of the operations I must carry out on text corpora. In particular, my thesis tackles decision-making processes within organizational environments and the tm package has proved really helpful when analyzing text regarding decision-making processes.
For my PhD studies I was experimenting with topic classification using support vector machines in R. I used the tm-package to bring the input corpora in the adequate format for SVM training/testing. I found the tm-package really easy to use (thanks to the excellent documentation) and very versatile (due to the possibility to extend it with custom functions). The combination of R and the tm-package made me really feel like I was having my fingers directly on the data. Thank you Ingo Feinerer for creating such a nice package.
Jason Miller (Intel, USA) says:
Thank you for making this brilliant tool! I am a big fan. I've found tm to be an exciting – perhaps the MOST exciting – package in R for application to economics, market research, and IT research.
John Rigsby (United
States Navy, USA) says:
I am working with your package tm. I have had a lot of luck using it to import and process RCV1.
Ingo Feinerer has created the "tm" package for the express purpose of enabling "text mining" in R. It looks like a good start down this track, and I'm always glad to see just how adaptable R can be to newer methods.
(University of California,
Santa Barbara, USA) says:
... thanks for a great package! ... it was most useful.
(American Cancer Society,
I have been using your TM implementation in R to attempt an analysis of a TDC of e-mails to our Society.
Kevin Chung (Carnegie
Mellon University, USA) says:
I am interested in doing some work on text mining for my research project and thought that i use R. ... I am trying to extract amazon dataset (the star and text ratings) and some how mine the text rating so that i can do some statistical analysis on consumer behavior.
College London, United Kingdom) says:
I'm using your great package TM for R in the framework of my PhD project.
I'm working on the topic of semantic information extraction from Classics (i.e. Greek and Latin) journal papers. At the moment, I'm also exploring the use of information retrievable from JSTOR using the DFR (Data for Research) API. I'm doing my PhD at King's College London (co-supervised by the CS department and the department of Digital Humanities).
Michael Conklin (MarketTools, USA) says:
I am attempting to utilize your package to analyze texts being used as product descriptions ...
Milan Bouchet-Valat (École normale supérieure de Cachan, France) says:
I've really enjoyed working with tm because of its flexibility, which allowed me to adapt methods to my subject. I could process a corpus of about 7000 newspaper articles using correspondence analysis and hierarchical clustering, and identified chronological trends. No other lexical analysis software would have made possible combining those different approaches.
Nick Torenvliet (QuantKit) says:
Academic literature provides excellent tutorial and tm is extremely useful. Thanks! It is always exciting to hit useful software!
Ricardo Pietrobon (Duke University, USA) says:
The functionality in the tm package is definitely impressive, specially regarding the connection with other open source packages. ... I work in the field of biomedical research ... congratulations again for your absolutely outstanding work.
Rodrigo Taborda (Universidad
del Rosario, Bogotá, Colombia) says:
I have used your tm package for my research in economic bias in reporting the behavior of the nominal exchange rate in Colombia.
Sam Thomas (Revelant Technologies, USA) says:
I am starting to use tm and think this is a great package. Thank you for providing this to the community!
Shad Thomas (Glass Box Research, USA) says:
I am Shad Thomas, President and Research Director of Glass Box Research Company based in Chicago, IL (USA). After a lengthy product search, including pilot projects with several of the large, commercial text mining software vendors, we have decided to use Ingo Feinerer's tm as our platform of choice for all text mining projects. We have been successfully using tm to mine Internet blog entries and message board postings for insights to assist our clients with their marketing objectives. tm provides both the power and the flexibility to mine this valuable -- but often times challeningly, unstructured -- data.
Stavros Macrakis (Gerson
Lehrman Group, USA) says:
My application is ... on cleverer text search algorithms. ... Thanks again for your package.
(financial.com AG, Germany) says:
Vielen Dank für das sehr nützliche R-Paket ...!
Der konkrete Anwendungsfall von tm ist eine Klassifizierung von (Reuters-)Nachrichten als Vorstufe einer Analyse über die Auswirkung von Unternehmensnachrichten, das ich im Rahmen meiner Promotion an der Uni Basel mache.
Tony Breyal (University of
Consulting, UK) says:
I have been using your text mining package as an alternative to using WordStat, and it has served me very well for research based solely on word counts. Thank you for developing this package.