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Data · dataset · 2025

Ti-ABSA:藏文方面级情感分析数据集

Listed in ScienceDB

Description

基于藏语的情感分析数据集 Ti ABSA 由微博数据和微博评论数据两部分组成。这两个部分都包含三个情绪类别:积极、消极和中立。Ti ABSA 数据集共包含 10577 个样本,其中微博数据集 5872 个样本,微博评论数据集 4705 个样本。数据集以 JSON 格式存储,每个文件包含三个字段:text、aspectTerm 和 aspectPolarity。text 字段记录藏文文本的内容;aspectTerm 字段捕获文本中的藏文 aspect 项(表示正在评估的特定对象或 face),而 aspectPolarity 字段记录与每个 aspect 项对应的情感极性。情绪极性分为积极、中性或消极,分别由值 2、1 和 0 表示。微博数据共包含 36705 个方面词,而微博评论包含 9043 个方面词。

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Catalogue records · 1

Topics

Inferred from text
Linguistics 69% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.155369 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4704enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:textenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title