Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
German
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
Commit
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- README.md +56 -0
- dev/7.addition.tsv +0 -0
- dev/7.federal_election.tsv +0 -0
- dev/7.federal_election_addition.tsv +0 -0
- dev/7.general.tsv +0 -0
- dev/7.politics.tsv +0 -0
- dev/7.politics_addition.tsv +0 -0
- dev/7.pope_election.tsv +0 -0
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- test/8.addition.tsv +0 -0
- test/8.federal_election.tsv +0 -0
- test/8.federal_election_addition.tsv +0 -0
- test/8.general.tsv +0 -0
- test/8.politics.tsv +0 -0
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- test/9.addition.tsv +0 -0
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- test/9.federal_election_addition.tsv +0 -0
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- test/9.pope_election_addition.tsv +0 -0
- train/1.addition.tsv +0 -0
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README.md
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---
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language:
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- de
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license: mit
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pretty_name: "PotTS: The Potsdam Twitter Sentiment Corpus"
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tags:
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- Sentiment Analysis
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task_categories:
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- text_classification
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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column_names: ["id", "label", "text", "normalized", "pos", "dependency", "meta"]
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data_files:
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- split: dev
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path: "dev/*.tsv"
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- split: test
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path: "test/*.tsv"
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- split: train
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path: "train/*.tsv"
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---
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# PotTS: The Potsdam Twitter Sentiment Corpus
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This dataset contains the Potsdam Twitter Sentiment Corpus based on [this data](https://github.com/WladimirSidorenko/CGSA/tree/master/data/PotTS/not-preprocessed).
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The link to the original annotated dataset can be found under Links.
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The only difference is that the mixed sentiment is removed (32 dev/55 test/401 train).
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### Links
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https://github.com/WladimirSidorenko/PotTS
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### Citation Information
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```
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@inproceedings{sidarenka-2016-potts,
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title = "{P}ot{TS}: The {P}otsdam {T}witter Sentiment Corpus",
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author = "Sidarenka, Uladzimir",
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editor = "Calzolari, Nicoletta and
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Choukri, Khalid and
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Declerck, Thierry and
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Goggi, Sara and
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Grobelnik, Marko and
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Maegaard, Bente and
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Mariani, Joseph and
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Mazo, Helene and
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Moreno, Asuncion and
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Odijk, Jan and
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Piperidis, Stelios",
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booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
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month = may,
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year = "2016",
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address = "Portoro{\v{z}}, Slovenia",
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publisher = "European Language Resources Association (ELRA)",
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url = "https://aclanthology.org/L16-1181"
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```
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