CMC
Computer-mediated communication (CMC) is human communication that occurs through the use of two or more electronic devices.
Corpora
A corpus is a large and structured set of texts created for linguistic research. Ideally, there are also meta data and annotations.
This page has the aim of listing all CMC corpora freely available for (linguistic) research with either texts from Switzerland or compiled by Swiss researchers. It was created and is maintained in a cooperation between Elisabeth Stark, Simone Ueberwasser and the Zurich Center for Linguistics. Do you want to inform us about your CMC corpus? Send us an email.
For CMC corpora without a link to Switzerland, please check the CLARIN page on CMC corpora.
sms4science
| Data | Text messages (SMS) |
|---|---|
| 0.5 Mio tokens | |
| Languages | Swiss German, German, French, Italian, Romansh |
| Collected | 2009 |
| Availability | Freely available for linguistic research, no access for commercial use. |
In 2009 under the lead of Elisabeth Stark around 25'000 SMS were collected from the Swiss population. From 2011 to 2015, the data were investigated in the frame of the SNSF Sinergia project sms4science. For the French data, sister projects are available in Belgium, France and Canada (cf. www.sms4science.org)
What's up, Switzerland?
| Data | WhatsApp messages |
|---|---|
| Size | 5 Mio tokens |
| Languages | Swiss German, German, French, Italian, Romansh |
| Collected | 2014 |
| Availability | Available upon request until 31.12.2018. After that: freely available. |
As a followup-project so sms4science, Elisabeth Stark and her team collected 216 WhatsApp chats in 2014. They are currently being investigated in the SNSF Sinergia project "What's up, Switzerland?".
SB-10k: German Sentiment Corpus
| Data | Tweets |
|---|---|
| Size | 5 Mio tokens |
| Languages | German |
| Collected | ? |
| Availability | Creative Commons License CC BY 4.0 from spinningbytes. |
SB-10k is a publicly available corpus that contains 9738 German tweets, each labeled by 3 annotators with “positive”, “negative”, “neutral”, “mixed”, or “unknown”. It was created by SpinningBytes in collaboration with the Zurich University of Applied Sciences (ZHAW).
SB-CH: A Swiss German Corpus with Sentiment Annotations
| Data | Facebook, Chats, |
|---|---|
| Size | 203,242 Swiss German phrases with 981,247 tokens |
| Languages | Swiss German |
| Collected | 2010-2017 |
| Availability | Creative Commons License CC BY 4.0 from spinningbytes. |
Check Ralf Grubenmann, Don Tuggener, Pius von Daniken, Jan Deriu, Mark Cieliebak (2018): SB-CH: A Swiss German Corpus with Sentiment Annotations. for more information.