Lok Sabha 2019 Social Media Sentiment

Public discourse surrounding the Indian General Lok Sabha elections held in 2019 is captured in this dataset. It provides insights into the real-time political discussions that took place on Twitter during the campaign period, which officially ran from 11 April to 19 May 2019. The data extraction focuses on tweets generated between 1 January 2019 and 23 May 2019, reflecting a period of intense engagement where political parties and leaders utilised the platform heavily. The collection includes specific tweets from prominent political leaders, such as Narendra Modi and Rahul Gandhi, and focuses on popular hashtags and keywords related to the election, including #LokSabhaElections2019, National Security, and employment.

The data includes the following key fields:

The data file is supplied as a CSV, titled IndianElection19TwitterData.csv, with a file size of 34.85 MB. The collection is currently finite, with an expected update frequency of Never. The dataset contains approximately 143,000 unique tweets.

Ideal applications for this data include political science research focusing on digital campaign strategies and public sentiment analysis during high-stakes elections. It is also suitable for linguistic analysis of political rhetoric and tracking the volume and themes of social media conversations relating to specific keywords like Jobs, Religion, and Demonetisation.

The geographic scope is limited to India, concentrating on the 2019 General Election campaign. The time period covered spans from the start of the year, 1 January 2019, through to 23 May 2019. A key restriction is that only tweets written in the English language were collected.

CC0: Public Domain

Intended users include data journalists looking to visualise election trends, social media researchers examining political engagement, and academics performing text mining on large volumes of public opinion data. The dataset is suitable for beginner-level analysis.

Original Data Source: Lok Sabha 2019 Social Media Sentiment