hu_liu_apex_reviews: Apex AD2600 Progressive-scan DVD player Product Reviews From...
In sentimentr: Calculate Text Polarity Sentiment
Description
Usage
Format
Details
References
Description
A dataset containing Amazon product reviews for the Apex AD2600 Progressive-scan DVD player. This
data set was compiled by Hu and Liu (2004). Where a sentence contains more
than one opinion score and average of all scores is used.
Usage
1
Format
A data frame with 740 rows and 3 variables
Details
sentiment. Hu and Liu (2004)'s average opinion rating for a
sentence. Negative and positive reflects direction, a negative or positive
sentiment. Opinion strength varies between 3 (strongest), and 1 (weakest).
number. The review number.
text. The text from the review.
review_id. The review number.
References
Minqing Hu and Bing Liu. (2004). Mining and summarizing customer reviews.
Proceedings of the ACM SIGKDD International Conference on
Knowledge Discovery & Data Mining (KDD-04).
Minqing Hu and Bing Liu. (2004)."Mining Opinion Features in Customer
Reviews. Proceedings of Nineteeth National Conference on
Artificial Intelligence (AAAI-2004).
Original URL: ‘https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html’
sentimentr documentation built on Oct. 12, 2021, 9:06 a.m.
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Description Usage Format Details References
Description
A dataset containing Amazon product reviews for the Apex AD2600 Progressive-scan DVD player. This data set was compiled by Hu and Liu (2004). Where a sentence contains more than one opinion score and average of all scores is used.
Usage
1 |
Format
A data frame with 740 rows and 3 variables
Details
sentiment. Hu and Liu (2004)'s average opinion rating for a sentence. Negative and positive reflects direction, a negative or positive sentiment. Opinion strength varies between 3 (strongest), and 1 (weakest). number. The review number.
text. The text from the review.
review_id. The review number.
References
Minqing Hu and Bing Liu. (2004). Mining and summarizing customer reviews. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-04).
Minqing Hu and Bing Liu. (2004)."Mining Opinion Features in Customer Reviews. Proceedings of Nineteeth National Conference on Artificial Intelligence (AAAI-2004).
Original URL: ‘https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html’
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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