To content
Doctoral Student

M.Sc. Kai-Robin Lange

Contact

TU Dortmund University
Department of Statistics
Chair of Business- and Social Statistics
CDI Building, Room 4
44221 Dortmund
Germany

E-Mail: kalangestatistik.tu-dortmundde
Phone: +49 231 755 5477

Portrait photo of Kai-Robin Lange © Kai-Robin Lange​/​private
  • since November 2021: Doctoral Student at the Chair of Buisness and Social Statistics
  • 2020-2021: Research Assistant at the Chair of Buisness and Social Statistics
  • 2019-2021: M.Sc. Statistics with minor in Computer Science, TU Dortmund University
    Master Thesis: Resampling strategies for unsupervised sentiment analysis using lexicon-based text embedding methods
  • 2016-2019: B.Sc. Statistics with minor in Computer Science, TU Dortmund University
  • Research in Text Mining
    • Sentiment analysis
    • Content analysis of political debates, speeches and documents
    • Evaluation of embedding-based methods
    • Extraction of events and narratives in text corpora
  • Additional methodical interests
    • Resampling procedures
    • Boosting
    • Causal inference

ORCiD

  • Lange, K.-R., Rieger, J., Benner, N. and Jentsch, C. (2022). Zeitenwenden: Detecting changes in the German political discourse. Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis. pdf. GitHub.
  • Rieger, J., Lange, K.-R., Flossdorf, J. and Jentsch, C. (2022). Dynamic change detection in topics based on rolling LDAs. Proceedings of the Text2Story'22 Workshop. CEUR-WS 3117, 5-13. pdf. GitHub.

Pre-prints and Working paper

  • Lange, K.-R., Rieger, J. and Jentsch, C. (2022). Lex2Sent: A bagging approach to unsupervised sentiment analysis. arXiv. DOI.

  • Lange, K.-R., Reccius, M., Schmidt, T., Müller, H., Roos, M., and Jentsch, C. (2022).  Towards extracting collective economic narratives from texts. Ruhr Economic Papers #963. Link

  • Benner, N., Lange, K.-R., and Jentsch, C. (2022).  Named Entity Narratives. Ruhr Economic Papers #962Link

  • Text as Data (WiSe 2022/23)
  • Seminar: Advanced Text Mining Methods (WiSe 2022/23)
  • Asymptotic Theory (WiSe 2022/23)
  • Entscheidungstheorie (SuSe 2022)
  • Asymptotic Theory (WiSe 2021/22)

Location & approach

The campus of TU Dort­mund Uni­ver­sity is located close to interstate junction Dort­mund West, where the Sauerlandlinie A45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dort­mund-Eichlinghofen” (closer to South Cam­pus), and from B1 / A40 “Dort­mund-Dorstfeld” (closer to North Cam­pus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dort­mund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

TU Dort­mund Uni­ver­sity has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The uni­ver­si­ty is easily reached from Bo­chum, Essen, Mülheim an der Ruhr and Duis­burg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund Uni­ver­sity leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The H-Bahn is one of the hallmarks of TU Dort­mund Uni­ver­sity. There are two stations on North Cam­pus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Cam­pus) Eichlinghofen. The other station is located at the dining hall at North Cam­pus and offers a direct connection to South Cam­pus every five minutes.

The AirportExpress is a fast and convenient means of transport from Dort­mund Airport (DTM) to Dort­mund Central Station, taking you there in little more than 20 minutes. From Dort­mund Central Station, you can continue to the uni­ver­si­ty campus by interurban railway (S-Bahn). A larger range of in­ter­na­tio­nal flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the uni­ver­si­ty station.

Interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

Campus Lageplan Zum Lageplan