COMFO: Multilingual Corpus for Opinion Mining

被引：0

作者：

Faty, Lamine ^{[1
]}

Drame, Khadim ^{[1
]}

Sarr, Edouard Ngor ^{[1
]}

Ndiaye, Marie ^{[1
]}

Diop, Ibrahima ^{[1
]}

Dia, Yoro ^{[2
]}

Sall, Ousmane ^{[3
]}

机构：

[1] Univ Assane Seck Ziguinchor, Ziguinchor, Senegal

[2] Univ Iba Thiam, Ziguinchor, Senegal

[3] Univ Virtuelle Senegal, Ziguinchor, Senegal

来源：

ARTIFICIAL GENERAL INTELLIGENCE, AGI 2022 | 2023年 / 13539卷

关键词：

Opinion mining; Online comment; Corpus building; COMFO;

D O I：

10.1007/978-3-031-19907-3_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The use of Machine Learning (ML) algorithms in opinion mining, particularly supervised learning algorithms, requires an annotated corpus to train the classification model in order to predict results that are close to reality. Unfortunately, there are still no resources for the automatic processing of textual data expressed in the Senegalese urban language. The objective of this paper is to build a multilingual corpus for opinion mining (COMFO). The process of building theCOMFOcorpus is composed of three steps: presentation of the data source, data collection and preparation, and annotation by lexical approach. The particularity of COMFO lies in the integration of foreign languages (French and English) and local languages, particularly urbanWolof, in order to reflect the collective opinion of Senegalese readers.

引用

页码：14 / 19

页数：6

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