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Table · dataset · 2022

Turkish Sentiment Dataset

Listed in Hugging Face Datasets

Dataset This dataset contains positive , negative and notr sentences from several data sources given in the references.

Description

In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence.

For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below.

Read the rest (1 more)

Notr examples are extraced from turkish wiki dump. In addition, added some random text… See the full description on the dataset page: huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset.

Links

Topics

Stated by source
text · text classification
Inferred from text
Text 75%

Related

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetswinvoker/turkish-sentiment-analysis-dataset13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0