Questions tagged [sentimentr]
The sentimentr tag has no usage guidance.
sentimentr
34
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How to utilize Rauh's German Political Sentiment Dictionary
I need to utlize the named sentiment dictionary for my sentiment analysis in R studio. Unfortunately I have problems at that. The dictionary comes within a zip archive and specifically (as I assume) ...
1
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0
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75
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Creating a progress bar for sentiment analysis in R
I am trying to do a sentiment analysis using the vader package in R. The vader package involves the vader_df() function to get sentiments for entire columns of data frames. I got a big data frame with ...
- 11
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sentiment analysis-training for 3 classes sentiment using 2 classes dataset
I'm going to build a model for twitter sentiment on Financial market using transformers. I have access to StockTwits data for training, which only contains positive and negative sentiments. However, I ...
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1
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43
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Can't get update_polarity_table in Sentimentr to update polarity
I'm trying to do a sentiment analysis using hash_sentiment_socal_google in Sentimentr. Looking through the responses, I've noticed that one word responses of "unsure", or "unknown",...
- 53
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1
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41
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Does sentimentr package account for number of words in sentence and number of sentence in paragraph?
Can anyone help explain whether sentimentr package accounts for word number? I am trying to work out how the number of words affects the sentiment score. Does it take into account if people have more ...
- 451
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Question about how the sentimentr lexicon dictionary was built
I have used the Sentimentr package to do some sentiment analysis because it includes valence shifters. However I cannot find how this lexicon lexicon::hash_sentiment_jockers_rinker was built, how ...
- 451
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1
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58
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Changing color of points in R Sentimentr plot() function
I am trying to change the color of the red points in the plot() function used by the Sentimentr package. I think plot() returns a ggplot2 object, but when I try to add parameters to the plot() ...
- 31
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1
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59
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sentimentr - different results for different text partitioning
Using sentimentr to analyse the text:
I haven’t been sad in a long time.
I am extremely happy today.
It’s a good day.
I first used a sentence by sentence partitioning of the text
library(sentimentr)
...
- 41
0
votes
1
answer
898
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Calculate sentiment of each row in a big dataset using R
I having trouble calculating average sentiment of each row in a relatively big dataset (N=36140).
My dataset containts review data from an app on Google Play Store (each row represents one review) and ...
- 57
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votes
1
answer
484
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Removing paragraphs in txt file with R
Using the readLines() function, I have imported a txt file, which stored sentences within multiple paragraphs like this:
sentence1. sentence2. sentence3.
sentence4. sentence5.
sentence6. sentence7.
...
user12913064
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0
answers
53
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Why has sentiment analysis been turned off in our LUIS apps?
Support help needed: A few weeks ago we discovered the shape of the sentiment json object had changed without notice, breaking our code. Now it's breaking again because the entire sentiment object is ...
- 105
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1
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455
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Apply Sentimentr on Dataframe with Multiple Sentences in 1 String Per Row
I have a dataset where I am trying to get the sentiment by article. I have about 1000 articles. Each article is a string. This string has multiple sentences within it. I ideally would like to add ...
- 4,175
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1
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327
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Sentiment_by function
i am collecting the sentiment data of some twitter information. Moreover I have been using the function sentiment_by in order to group the information by a column.
sent<-sentiment_by(...
- 37
1
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1
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108
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Is it possible to add terms to the dictionaries of `lexicon` package?
The package sentimentr provides tools to calculate text polarity sentiment at the sentence level and
optionally aggregate by rows or grouping variable. One of its functions, sentiment, approximates ...
- 1,703
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votes
2
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937
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r sentiment analysis applied to a whole column
I have a dataframe of tweets. A given tweet has multiple sentences. When I use sentimentr's sentiment function, it returns a score for each function like so:
sentiment(as.character(tweets$text[1]))$...
- 416