Open
Description
- uid: tsac
- type: primary
- description:
- name: TSAC
- description: Tunisian sentiment analysis corpus. The dataset contains 17K user comments manually annotated to positive and negative. The corpus is collected from Facebook comments on official pages of Tunisian radios and TV channels. The dataset is collected between Jan 2015 and June 2016.
- homepage: https://github.com/fbougares/TSAC
- validated: True
- languages:
- language_names:
- Arabic
- ar-TN
- language_comments:
- language_locations:
- Northern Africa
- Tunisia
- validated: False
- language_names:
- custodian:
- name:
- in_catalogue:
- type:
- location:
- contact_name:
- contact_email:
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: Yes - it has a direct download link or links
- download_url: https://github.com/fbougares/TSAC
- download_email:
- licensing:
- has_licenses: Yes
- license_text: Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed.
- license_properties:
- open license
- license_list:
- lgpl-3.0: GNU Lesser General Public License v3.0 only
- pii:
- has_pii: Unclear
- generic_pii_likely:
- generic_pii_list:
- numeric_pii_likely:
- numeric_pii_list:
- sensitive_pii_likely:
- sensitive_pii_list:
- no_pii_justification_class: general knowledge not written by or referring to private persons
- no_pii_justification_text:
- validated: False
- procurement:
- source_category:
- category_type: website
- category_web:
- category_media:
- validated: False
- media:
- category:
- text
- text_format:
- .TXT
- audiovisual_format:
- image_format:
- database_format:
- .ZIP
- text_is_transcribed: No
- instance_type: post
- instance_count: 1K<n<10K
- instance_size: n<10
- validated: False
- category:
- fname: tsac.json