Emoji Gestures in English Tweets: California

The dataset consists of 479 193 tweets each of them contains one of the 31 gesture emoji (different hand configurations) and its skin tone modifier options (e.g. 🙏🙏🏿🙏🏾🙏🏽🙏🏼🙏🏻), posted within 250km from San Jose, CA and within 200km from Los Angeles, CA, in English, during May-August 2021. The dataset can be used to investigate the use of gesture emoji by English-speaking California Twitter users. Python libraries used for collecting tweets and preprocessing: tweepy, re, preprocessor, emoji, regex, string, nltk.

The dataset contains 12 columns:

1. tweet_original

   original text of the tweet

2. preprocessed

   preprocessed text of the tweet (4 steps)

3. all_emoji

   lists all emoji in a given tweet

4. hashtags

   lists all hashtags in a given tweet

5. user_encoded

   encoded Twitter user name: the first 3 characters of the user name and the first 3 characters of the user's location

6. location_encoded

   location of the user: "los_angeles", "san_diego", "san_jose", "san_francisco", "fresno", "long_beach", "sacramento", "oakland", "bakersfield", "anaheim", or "other"

7. mention_present

   checks whether each tweet contains url

8. url_present

   checks whether each tweet contains url

9. preprocess_tweet

   preprocessing step 1: tokenizing mentions, urls, and hashtags

10. lowercase_tweet

    preprocessing step 2: lowercasing

11. remove_punct_tweet

    preprocessing step 3: removing punctuation

12. tokenize_tweet

    preprocessing step 4: tokenizing

The further information on the research project can be found here: https://github.com/mzhukovaucsb/emoji_gestures/