Published February 27, 2023 | Version v1

Bag Brands Sentiment Dataset

Authors/Creators

  • 1. Universitas Pendidikan Indonesia

Description

The Bag Brand Sentiment Dataset is a collection of tweet data from Twitter that focuses on several popular designer bag brands. The dataset includes tweets related to seven specific keywords: "gucci bag", "chanel bag", "dior bag", "louis vuitton bag", "prada bag", "hermes bag", and "supreme bag".

The data was obtained using the Twitter API, which is a tool used to extract data from Twitter. The dataset consists of a total of 2881 tweets that were obtained through Twitter crawling. Before the dataset was compiled, a pre-processing process was conducted to remove duplicate data, ensuring that the dataset contains only unique tweets.

The Bag Brand Sentiment Dataset is useful for analyzing consumer sentiment towards popular designer bag brands. It can be used by marketers to gain insights into consumer preferences and attitudes towards specific brands. Additionally, researchers can use the dataset to study trends in consumer sentiment towards luxury goods or to explore how social media platforms are used to discuss designer bag brands.

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