Question

I ran a VADER sentiment analysis on mulitple files and the compound score for all of them was 1; how can I validate this result?

score 51 · Answer 1 · 2024-01-13T05:14:23.523000

51

Views

I ran a VADER sentiment analysis on mulitple files and the compound score for all of them was 1; how can I validate this result?

Published on 13 January 2024 at 05:14

score 71 · Answer 2 · 2023-12-22T05:03:55.087000

71

Views

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score 81 · Answer 3 · 2023-10-06T12:50:42.390000

81

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score 60 · Answer 4 · 2023-04-08T17:30:48.750000

60

Views

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score 80 · Answer 7 · 2023-01-28T17:54:00.280000

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score 183 · Answer 8 · 2023-01-11T12:24:19.130000

183

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227

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score 218 · Answer 15 · 2022-01-24T11:33:26.703000

218

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score 212 · Answer 16 · 2021-11-20T06:07:42.740000

212

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score 156 · Answer 17 · 2021-11-07T19:35:47.977000

156

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score 91 · Answer 18 · 2021-10-14T15:55:19.587000

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score 70 · Answer 19 · 2021-10-08T08:48:46.080000

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score 354 · Answer 20 · 2021-09-30T14:44:20.410000

354

Views

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List Question

I ran a VADER sentiment analysis on mulitple files and the compound score for all of them was 1; how can I validate this result?

Using fully custom lexicon for VADER sentiment analyzer

IndexError: index out of range in self ( Google Colab notebook ) while implementing Roberta Pretrained Model

nltk code in google colab works and returns real values, but in jupyter notebook only zeros

How to labeling text based on aspect term and sentiment

Creating a progress bar for sentiment analysis in R

What could be the reasons for vader_df() giving NA compound scores in R?

vaderSentiment TypeError: 'float' object is not iterable

how do i solve AttributeError: 'float' object has no attribute 'encode'

Using "ifelse" with negative values - R

Vader Sentiment Analysis in R

Pandas code running but not doing anything

Daily Sentiment Values

Cant seem to iterate over a column to assign sentiment values

Iterating over a DataFrame and appending the score into a column

Getting loop error in R with vader package

Transcript transformation for sentiment analysis

How to create a function that scores ngrams before unigrams in Python?

New instance of a class contains older data given to an older instance

Using an average of VADER and textBlob's sentiment polarity gives me a more accurate result, why?

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