14. Review some initial results and remove unused emotion words from the current-state emotion mapping.

May 22, 2025, 11:09 PM

chapter_study_emotion.xlsx

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emotion_words_4_revised.csv

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Load these files.

The files have been successfully loaded:
  1. chapter_study_emotion.xlsx: This file contains data related to study sessions, including start and end dates, progress, duration, and emotional responses.
  2. emotion_words_4_revised.csv: This file lists words associated with emotions and their similar words.
If you have any specific questions or need further analysis on this data, feel free to ask!

Several stood_out responses that have been categorized as "interested" in stood_out_emotion_categories are false positives. For rows where RESPONDENT_ID equals iPb4802d8779fc7ac9 or iP36c1d8ab1e8c795b or iP36f2cf31e214e81c or iP4b5e5d728b5da5de or iP9aa2f4e668e8ac8 or iP46d54da78bb987d3 or iP4a6b49b0ffa5126e, remove the words "interesting", "interest", and/or "interested" from the lists in stood_out_emotion_matches and stood_out_emotion_categories.

The specified words "interesting", "interest", and "interested" have been successfully removed from the stood_out_emotion_matches and stood_out_emotion_categories lists for the specified RESPONDENT_IDs.
If you need further analysis or have any other questions, feel free to ask!

Excluding the "observant" category, what are the top 10 emotional categories in the dataset

It seems there was an issue with the data processing, as the top categories returned are not valid emotional categories but rather characters from the strings.
Let's correct this by ensuring that the categories are properly extracted and counted.
The top 10 emotional categories in the dataset, excluding the "observant" category, are as follows:
  1. Interested: 130 occurrences
  2. Beautystruck: 72 occurrences
  3. Calm: 71 occurrences
  4. Happy: 58 occurrences
  5. Inspired: 56 occurrences
  6. Approving: 49 occurrences
  7. Captivated: 45 occurrences
  8. Touched: 44 occurrences
  9. Surprised: 37 occurrences
  10. Respectful: 25 occurrences
If you have any more questions or need further analysis, feel free to ask!

How many unique emotional categories are there?

There are 34 unique emotional categories in the dataset, excluding the "observant" category.
If you have any more questions or need further analysis, feel free to ask!

Visualize the distribution of emotional categories for me.

Can you show the distribution for all categories?

what share of responses to stood_out include any emotion category?

Approximately 51.7% of the responses to the stood_out field include at least one emotion category.
If you have any more questions or need further analysis, feel free to ask!

what is the text of the stood_out response that is categorized as patronized

The stood_out response that is categorized as "patronized" is:
"I appreciated the videography and style of editing. I liked how the colors were muted and soft like the scenery surrounding them. Yet the poet seems to boast about the liveliness of the season contrary to the weather."
If you have any more questions or need further analysis, feel free to ask!

show me the responses where the emotional tone of the emotion categories seems to be ambivalent

There are no responses in the stood_out field that are categorized with an ambivalent emotional tone such as "ambivalent", "mixed", or "conflicted".
If you have any more questions or need further analysis, feel free to ask!

Create a single list of unique words found in the stood_out_emotion_matches column. Create another list of unique words from "similar words" column of the emotion_words_4_revised.csv files. Compare the two lists and generate a table to show me which words appear only in the list of words from the emotion_words_4_revised.csv list and not in the stood_out_emotion_matches list.

revise emotion_words_4_revised.csv by removing those unique words

rename the emotion_words_r_revised_cleaned.csv file to emotion_words_5.csv and save it

show me the head of the current dataframe

show me the head of chapter_study_emotion

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