README.md

---
language:
- de
license: mit
pretty_name: "PotTS: The Potsdam Twitter Sentiment Corpus"
tags:
- Sentiment Analysis
task_categories:
- text-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
  column_names: ["id", "label", "text", "normalized", "pos", "dependency", "meta"]
  data_files:
  - split: dev
    path: "dev/*.tsv"
  - split: test
    path: "test/*.tsv"
  - split: train
    path: "train/*.tsv"
---

# PotTS: The Potsdam Twitter Sentiment Corpus

This dataset contains the Potsdam Twitter Sentiment Corpus based on [this data](https://github.com/WladimirSidorenko/CGSA/tree/master/data/PotTS/not-preprocessed).
The link to the original annotated dataset can be found under Links.
The only difference is that the mixed sentiment is removed (32 dev/55 test/401 train).

### Links
https://github.com/WladimirSidorenko/PotTS


### Citation Information
```
@inproceedings{sidarenka-2016-potts,
    title = "{P}ot{TS}: The {P}otsdam {T}witter Sentiment Corpus",
    author = "Sidarenka, Uladzimir",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1181"
```