usgs_gdd: Test dataset of public USGS datasets
In aazaff/geocarrot: R Interface for GeoDeepDive Library
Description
Usage
Format
Source
Description
An example StanfordCoreNLP 352 output for 5 USGS documents from GeoDeepDive. Note that the data is not normalized, most fields are comma-separated arrays. We recommend using cleanPunctuation()
Usage
1
Format
A character matrix with 14,560 rows and 9 fields:
- docid
Document id number, alphanumeric code
- sentid
Sentence ide number, integer identifying the sentence in the document
- wordidx
integer, index number of word in sentence
- words
string, the actual words of the sentence
- poses
grammatical parts of speech codes
- ners
StanfordCoreNLP default named-entities
- lemmas
Stems of words
- dep_paths
Linkages between words
- dep_parents
The index numbers for the dep_paths
Source
aazaff/geocarrot documentation built on May 5, 2019, 9:44 p.m.
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Description Usage Format Source
Description
An example StanfordCoreNLP 352 output for 5 USGS documents from GeoDeepDive. Note that the data is not normalized, most fields are comma-separated arrays. We recommend using cleanPunctuation()
Usage
1 |
Format
A character matrix with 14,560 rows and 9 fields:
- docid
Document id number, alphanumeric code
- sentid
Sentence ide number, integer identifying the sentence in the document
- wordidx
integer, index number of word in sentence
- words
string, the actual words of the sentence
- poses
grammatical parts of speech codes
- ners
StanfordCoreNLP default named-entities
- lemmas
Stems of words
- dep_paths
Linkages between words
- dep_parents
The index numbers for the dep_paths
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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