R help - May 2020 - Question about package "SentimentAnalysis"

Hi,
I hope you are doing well!
I have a question about topic modeling. Please consider summarized steps
for making a LDA (Latent Direchlet Allocation) model:
1-importing data
2-making a corpus.
3-pre-processing and cleaning data
4-making term document matrix
5-Apply LDA in topicmodel package.
During mentioned steps, should i convert my data to Tidy format using
unnest_tokens or not?

Many thanks!
With best regards,

-- 
*Mehdi Dadkhah*

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Hi,
I hope you are doing well!
I read a vignette (
https://cran.r-project.org/web/packages/SentimentAnalysis/vignettes/SentimentAnalysis.html)
about interested package, "SentimentAnalysis". But i faced with a
question.
In mentioned  vignette, the sentiment has been applied on a sentence or
multiple sentences separately. Can this package calculate sentiment
direction/score for a long texts?
for example:

# Create a vector of strings
documents <- "Wow, I really like the new light sabers!That book was
excellent.R is a fantastic language.The service in this restaurant was
miserable.This is neither positive or negative."

# Analyze sentiment
sentiment <- analyzeSentiment(documents)

Many thanks!
With best regards,

-- 
*Mehdi Dadkhah*

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I think your best bet is to ask the author/maintainer, Stefan Feuerriegel
,about this. The reference manual
https://cran.r-project.org/web/packages/SentimentAnalysis/SentimentAnalysis.pdf
gives his email address as <sentiment at sfeuerriegel.com>

On Fri, 8 May 2020 at 08:32, Mehdi Dadkhah <mehdidadkhah91 at gmail.com>
wrote:
> Hi,
> I hope you are doing well!
> I read a vignette (
>
>
https://cran.r-project.org/web/packages/SentimentAnalysis/vignettes/SentimentAnalysis.html
> )
> about interested package, "SentimentAnalysis". But i faced with a
question.
> In mentioned  vignette, the sentiment has been applied on a sentence or
> multiple sentences separately. Can this package calculate sentiment
> direction/score for a long texts?
> for example:
>
> # Create a vector of strings
> documents <- "Wow, I really like the new light sabers!That book was
> excellent.R is a fantastic language.The service in this restaurant was
> miserable.This is neither positive or negative."
>
> # Analyze sentiment
> sentiment <- analyzeSentiment(documents)
>
> Many thanks!
> With best regards,
>
> --
> *Mehdi Dadkhah*
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>

-- 
John Kane
Kingston ON Canada

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