4 messages · Mehdi Dadkhah, John Kane
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* [[alternative HTML version deleted]]
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]]
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>
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]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
John Kane Kingston ON Canada [[alternative HTML version deleted]]
Thank you!
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]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- John Kane Kingston ON Canada
*Mehdi Dadkhah* [[alternative HTML version deleted]]