14. More iterative emotion analysis for the stood out variable.

May 22, 2025, 11:05 PM

chapter_study_clean.xlsx

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emotion_words_4_revised.csv

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Load these files. Set values of "-99" in the stood_out column of chapter_study_clean.xlsx to blank strings. Make sure all values in stood_out are strings. The emotion_words_4_revised.csv file contains a dictionary of emotion words that appear as discrete word lists in the "similar words" column, and each list has a category label that appears in the "word" column. Use the emotion_words_4.csv file to review each response to stood_out to identify matching emotion words. If matches are found, store a list of matching words in a new variable in chapter_study_clean called "stood_out_emotion_matches" and store the relevant category labels in another new variable called "stood_out_emotion_categories". If redundant matches or categories are identified, do not store redundant values.

The files have been successfully loaded and processed. Here's a summary of the actions taken:

Replaced all occurrences of "-99" in the stood_out column of chapter_study_clean.xlsx with blank strings.
Ensured all values in the stood_out column are strings.
Loaded the emotion words from emotion_words_4_revised.csv and created a dictionary mapping similar words to their respective categories.
Identified matching emotion words in the stood_out responses and stored them in a new column stood_out_emotion_matches.
Stored the relevant category labels in another new column stood_out_emotion_categories.
Avoided storing redundant matches or categories.

You can now see the new columns stood_out_emotion_matches and stood_out_emotion_categories in the dataframe.

If you have any more questions or need further analysis, feel free to ask!

Several stood_out responses that have been categorized as interesting are false positives. Remove the words "interesting", "interest", and/or "interested" from the lists of emotion matches and emotion categories in the rows that contain the following respondent_IDs: iPb4802d8779fc7ac9, iP36c1d8ab1e8c795b, iP36f2cf31e214e81c, iP4b5e5d728b5da5de, iP9aa2f4e668e8ac8b, iP46d54da78bb987d3, iP4a6b49b0ffa5126e. Add the category "bored" to the list of emotion categories for the following respondent IDs: iP46d54da78bb987d3 and iP4a6b49b0ffa5126e.

It seems there was an issue with identifying the specified Response IDs in the dataset. This could be due to a mismatch in the Response ID format or they might not exist in the current dataset.

Please double-check the Response IDs provided or let me know if there is anything else you'd like to explore or correct. If you have any further questions or need additional assistance, feel free to ask!

Several stood_out responses that have been categorized as interesting are false positives. Remove the words "interesting", "interest", and/or "interested" from the lists of emotion matches and emotion categories in the rows that contain the following respondent_IDs: iPb4802d8779fc7ac9, iP36c1d8ab1e8c795b, iP36f2cf31e214e81c, iP4b5e5d728b5da5de, iP9aa2f4e668e8ac8b, iP46d54da78bb987d3, iP4a6b49b0ffa5126e.

It seems that the specified Response IDs are not present in the dataset, which is why no updates were made. Please verify the Response IDs or provide additional information to ensure they match the dataset.