A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities
| Main Author: | Sarker, Abeed |
|---|---|
| Other Authors: | Gonzalez, Graciela |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2017
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/dwr4xn8kcv |
| ctrlnum |
0.17632-dwr4xn8kcv.3 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Sarker, Abeed</creator><title>A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities</title><publisher>Mendeley</publisher><description>Language models. As described in the publication titled above.
DSM-langauge-models-3M-LARGE is generated from over 3M posts using window size 5 and dimension 400.
**USE THIS**: DSM-language-model-1B-LARGE is generated from ~ 1B tweets from user timelines where at least 1 medication is mentioned. This model is an n-gram model.</description><subject>Social Media</subject><subject>Drug Adverse Reactions</subject><subject>Language Modeling</subject><subject>Pharmacovigilance</subject><contributor>Gonzalez, Graciela</contributor><type>Other:Dataset</type><identifier>10.17632/dwr4xn8kcv.3</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/dwr4xn8kcv</relation><date>2017-07-17T18:30:14Z</date><recordID>0.17632-dwr4xn8kcv.3</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Sarker, Abeed |
| author2 |
Gonzalez, Graciela |
| title |
A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities |
| publisher |
Mendeley |
| publishDate |
2017 |
| topic |
Social Media Drug Adverse Reactions Language Modeling Pharmacovigilance |
| url |
https:/data.mendeley.com/datasets/dwr4xn8kcv |
| contents |
Language models. As described in the publication titled above.
DSM-langauge-models-3M-LARGE is generated from over 3M posts using window size 5 and dimension 400.
**USE THIS**: DSM-language-model-1B-LARGE is generated from ~ 1B tweets from user timelines where at least 1 medication is mentioned. This model is an n-gram model. |
| id |
IOS7969.0.17632-dwr4xn8kcv.3 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:32:56Z |
| last_indexed |
2020-04-08T08:32:56Z |
| recordtype |
dc |
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1686587770670153728 |
| score |
17.538404 |