Customer-Support-on-Twitter

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Dataset https://www.kaggle.com/datasets/thoughtvector/customer-support-on-twitter/data

Customer Support for Twitter: Sequence to Sequence Mapping, Emoji Removal, Punctuation Stripping, URL Filtering

This dataset contains a collection of tweets related to customer support on Twitter, where I have performed sequence to sequence mapping, emoji removal, punctuation stripping, and URL filtering.(more processing to follow)

Dataset Overview

• Number of Tweets: 100,000
• Time Period: June 2016 to present
• Data Source: Twitter Stream API
• Preprocessing:
  • Emoji removal
  • Punctuation stripping
  • URL filtering
  • Misspelling correction
  • Removal of retweet symbols

Data Preprocessing

Our preprocessing steps are based on the work of [1] and [2].

1. Emoji Removal: We used a list of 1624 emojis defined by the Unicode v6.0 Standard to remove emojis from the tweets.
2. Punctuation Stripping: We removed punctuation marks to simplify the text and make it easier to analyze.
3. URL Filtering: We filtered out URLs to reduce noise and focus on the text content.
4. Misspelling Correction: We used a dictionary of common misspellings to correct misspelled words.
5. Removal of Retweet Symbols: We removed retweet symbols to focus on original tweets.

Data Usage

This dataset can be used for various natural language processing tasks, such as:

• Sentiment analysis
• Topic modeling
• Sequence to sequence mapping
• Emoji usage analysis

More Data Preprocessing to follow....