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cjhutto / vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
MIT License
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How to successfully loop the sentiment scores into an existing csv? #103

Closed pelas95 closed 4 years ago

pelas95 commented 4 years ago

Hi,

Do you have any tips for applying the sentiment scores to an existing CSV? My data comprises of two columns, channelID and user comment. In the output, I can only get the first three rows with sentiment scores. My row of channel ID is also cleared.

I've tried reformatting my CSV using text-to-columns from fixed-with to delimited by tab but it did not help. Delimiting by commas is not possible, since the comment text contains columns.

I'm only a beginner and have been stuck with this issue for a while. Photos of my code and faulty output below:

Screen Shot 2020-07-07 at 3 25 44 PM Screen Shot 2020-07-07 at 3 29 54 PM

Many thanks!

/P

pelas95 commented 4 years ago

Typo in the output generation. should be:

vs_results = [vs(row) for row in df['comment']] vs_df = pd.DataFrame(vs_results) text_df = pd.DataFrame(df, columns = ['channelId','comment']) final_df = text_df.join(vs_df)

final_df.to_csv('name.csv')