GetSentiment: Sentimental Words Analysing
In unimi-dse/46ab540a: Examinating if Amazon's product ratings are reliable based on reviews analysing
Description
Usage
Arguments
Value
Examples
View source: R/Sentimental analysis.R
Description
If the number of negative words from reviews is greater than 40 percent of total sentimental words then that product is considered as 'got BAD reviews'and vice versa
Usage
1
GetSentiment(url, page_range)
Arguments
url
A string indicates URL of product
page_range
Numeric number indicates a certain page's numer
Value
Number of negative words, positive word and general sentiment
Examples
1
GetSentiment('https://www.amazon.co.uk/find-PHRL3236-Mens-Jumpers-Off-White/dp/B004I8VJ1Y?pf_rd_p=190f0313-4dcb-4239-b2ce-39f9d6bd3b5c&pd_rd_wg=NzF31&pf_rd_r=WJ0HCRPD99CTHV8XN0K0&ref_=pd_gw_unk&pd_rd_w=yoPcr&pd_rd_r=2a39592b-aee9-47b5-a65e-862257e0f4df&th=1',1:2)
unimi-dse/46ab540a documentation built on Dec. 10, 2020, 2:16 p.m.
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Description Usage Arguments Value Examples
View source: R/Sentimental analysis.R
Description
If the number of negative words from reviews is greater than 40 percent of total sentimental words then that product is considered as 'got BAD reviews'and vice versa
Usage
1 | GetSentiment(url, page_range)
|
Arguments
url |
A string indicates URL of product |
page_range |
Numeric number indicates a certain page's numer |
Value
Number of negative words, positive word and general sentiment
Examples
1 | GetSentiment('https://www.amazon.co.uk/find-PHRL3236-Mens-Jumpers-Off-White/dp/B004I8VJ1Y?pf_rd_p=190f0313-4dcb-4239-b2ce-39f9d6bd3b5c&pd_rd_wg=NzF31&pf_rd_r=WJ0HCRPD99CTHV8XN0K0&ref_=pd_gw_unk&pd_rd_w=yoPcr&pd_rd_r=2a39592b-aee9-47b5-a65e-862257e0f4df&th=1',1:2)
|
R Package Documentation
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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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