|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Corpus on Arabic Egyptian tweets |
|
Identification Number: |
doi:10.7910/DVN/LBXV9O |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2019-06-23 |
|
Version: |
1 |
|
Bibliographic Citation: |
Rania Kora; Ammar Mohammed, 2019, "Corpus on Arabic Egyptian tweets", https://doi.org/10.7910/DVN/LBXV9O, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Corpus on Arabic Egyptian tweets |
|
Identification Number: |
doi:10.7910/DVN/LBXV9O |
|
Authoring Entity: |
Rania Kora (Faculty of Graduate Studies for Statistical Research, Cairo University) |
|
Ammar Mohammed (Faculty of Graduate Studies for Statistical Research, Cairo University) |
|
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Rania Kora |
|
Access Authority: |
Ammar Mohammed |
|
Date of Deposit: |
2019-06-07 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/LBXV9O |
|
Study Scope |
|
|
Keywords: |
Computer and Information Science |
|
Abstract: |
This is a new Arabic corpus for Egyptian tweets. This corpus consists of 40000 tweets classified into 20000 positive tweets and 20000 negative tweets. Additionally, the collected tweets covered a blend of different general topics discussed on Twitter. To our knowledge, this is the largest manually annotated Arabic corpus up to submitting this data. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
|
Other Study Description Materials |
|
|
Label: |
40000-Egyptian-tweets.xlsx |
|
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |