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---
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"
```
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