hash_sentiment_senticnet: Augmented SenticNet Polarity Table
In lexicon: Lexicons for Text Analysis
Description
Usage
Format
Details
References
Description
A data.table dataset containing an augmented version of Cambria, Poria,
Bajpai,& Schuller's (2016) positive/negative word list as sentiment lookup
values.
Usage
1
Format
A data frame with 23,626 rows and 2 variables
Details
x. Words
y. Sentiment values
Original Publication Credit Statement:
Thank you for using SenticNet 4!
Please acknowledge the authors by citing the following publication
in any research work or presentation containing results obtained
in whole or in part through the use of SenticNet 4:
Cambria, E., Poria, S., Bajpai, R. and Schuller, B. SenticNet 4:
A semantic resource for sentiment analysis based on conceptual primitives.
In: COLING, pp. 2666-2677, Osaka (2016))
References
Cambria, E., Poria, S., Bajpai, R. and Schuller, B. SenticNet 4:
A semantic resource for sentiment analysis based on conceptual primitives.
In: COLING, pp. 2666-2677, Osaka (2016)
http://sentic.net/downloads
lexicon documentation built on May 2, 2019, 1:42 p.m.
R Package Documentation
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Description Usage Format Details References
Description
A data.table dataset containing an augmented version of Cambria, Poria, Bajpai,& Schuller's (2016) positive/negative word list as sentiment lookup values.
Usage
1 |
Format
A data frame with 23,626 rows and 2 variables
Details
x. Words
y. Sentiment values
Original Publication Credit Statement: Thank you for using SenticNet 4!
Please acknowledge the authors by citing the following publication in any research work or presentation containing results obtained in whole or in part through the use of SenticNet 4:
Cambria, E., Poria, S., Bajpai, R. and Schuller, B. SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives. In: COLING, pp. 2666-2677, Osaka (2016))
References
Cambria, E., Poria, S., Bajpai, R. and Schuller, B. SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives. In: COLING, pp. 2666-2677, Osaka (2016) http://sentic.net/downloads
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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