nlpbasel

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@ChuliaLeuthaad [:alpha:]+ed[:blank:]

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@ChuliaLeuthaad No, how did you send them to me?

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@MariaKortmann #nlpbasel Is words a tibble and does it share variable names with the sentiment lexicon?

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#nlpbasel The future of natural language processing https://t.co/i05IgqsJb7

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@ElenaBlack2003 #nlpbasel please send me your code via mail.

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#nlpbasel I've fixed the last assignment. The right control statement is next, not continue. Confused it with Python. Sorry.

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@Dominikmeie_r You are right! I confused this with Python. The statement should indeed be next. Good catch! #nlpbasel

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@ElenaBlack2003 That's probably because your are not assigning the stemmed words in the last line inside the loop but the output of rnorm. #nlpbasel

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@Nadscha20 @ElenaBlack2003 Consider indexing the paragraph vector. Looks like you are trying to extract words from the entire vector of paragraphs. #nlpbasel

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@ElenaBlack2003 #nlpbasel Ah, and first update R to the latest version. Then you should be able to install haven.

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@ElenaBlack2003 #nlpbasel the problem is that you assigned the character vector to log_vec (and vice versa). Switch names.

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@ElenaBlack2003 #nlpbasel you need to install the package first. Try install.packages("haven").

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@ChuliaL #nlpbasel can probably be solved by installing the package hms. But don't worry about tasks involving these data formats. We won't be needing them in our course.

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@ElenaBlack2003 Could you be more specific here?

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@ElenaBlack2003 #nlpbasel there's a typo in the library() function. Let me know if this fixes it.

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@ChuliaL @nlpbasel #nlpbasel Is it that you cannot move the cursor between the quotation marks or that hitting the tab, while the cursor is between the quotation marks, does not open the auto-complete dialog?

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#nlpbasel assignment solution is up!

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#nlpbasel new, easier to handle sentiment corpus: https://t.co/Xo7dFE5SAb Load with read.table(filename, sep = '\t', quote = NULL)