xLiMe Twitter Corpus XTC 1.0.1

xLiMe Twitter Corpus XTC 1.0.1

CLARIN.SI data & tools

Authors: Rei, Luis ; Krek, Simon and Mladenić, Dunja

Item identifier: http://hdl.handle.net/11356/1078

Project URL: https://github.com/lrei/xlime_twitter_corpus

Date issued: 2016-11-28

Type: corpus, text

Size: 363994 tokens, 19669 texts

Language(s): German , Italian , Spanish

Description: The xLiMe Twitter Corpus contains tweets in German, Italian and Spanish manually annotated with part-of-speech, named entities, and message-level sentiment polarity. In total, the corpus contains almost 20K annotated messages and 350K tokens. The corpus is described in Luis Rei, Dunja Mladenić, Simon Krek. A Multilingual Social Media Linguistic Corpus. Proceedings of the 4th Conference on CMC and Social Media Corpora for the Humanities. 27–28 September 2016, Ljubljana, Slovenia. https://nl.ijs.si/janes/cmc-corpora2016/proceedings/

Publisher: Jožef Stefan Institute

Subject(s): social media computer-mediated communication Twitter part-of-speech tagging named entities sentiment classification multilingual manual annotation

Collection(s): CLARIN.SI data & tools

Show full item record

Files in this item

Download all files in item (6.29 MB)

This item is

Publicly Available

and licensed under:
The MIT License (MIT)

Name: xlime_twitter_corpus-master.zip
Size: 6.14 MB
Format: application/zip
Description: The full xLiMe Twitter Corpus data and code
MD5: a65651e185d92b7aa76de9f52a6aa442

Download file Preview

File Preview

xlime_twitter_corpus-master
- corpus_task
  - spanish_pos.txt1 MB
  - german_ner.txt454 kB
  - german_pos.txt565 kB
  - german_sentiment.tsv422 kB
  - spanish_sentiment.tsv890 kB
  - italian_sentiment.tsv1 MB
  - italian_ner.txt1 MB
  - italian_pos.txt1 MB
  - spanish_ner.txt964 kB
- README.md13 kB
- code
  - __init__.py0 B
  - twokenize.py11 kB
  - stats_task.py1 kB
  - xlime2conll.py2 kB
  - extract_sentiment.py1 kB
  - data.py1 kB
  - agreement.py4 kB
  - xlime2iaa.py2 kB
  - stats.py2 kB
  - experiment.py4 kB
  - seq.py4 kB
  - pretag.py5 kB
- requirements.txt25 B
- data
  - italian_task_1442142987.tsv10 MB
  - german_task_1442142996.tsv4 MB
  - spanish_task_1440847551.tsv9 MB
- agreement
  - german_sent.iaa1 kB
  - italian_ner.iaa9 kB
  - italian_pos.iaa22 kB
  - spanish_ner.iaa6 kB
  - german_ner.iaa8 kB
  - spanish_pos.iaa15 kB
  - german_pos.iaa17 kB
  - spanish_sent.iaa1 kB
  - italian_sent.iaa1 kB
- guidelines.md8 kB
- LICENSE.md1 kB

Name: CMC-2016_Rei_et_al_Multilingual-Social-Media-Linguistic-Corpus.pdf
Size: 151.65 KB
Format: PDF
Description: Paper describing the corpus
MD5: d2e2a0b00a4d389f40b55f4972901a37