• Sudha G Hiremath

Introduction: Along with other ways of expressing opinions in media such as blogs and forums, social media such as WhatsApp and Facebook has become one of the most widely used ways for people to express their opinions. As interest in migration in Hubli city grows, it is important to address and analyze these perspectives. Objectives of study: This study aims to measure public attitudes towards migration through sentiments and hate speech on the issue of Hubli city of migration in WhatsApp and Facebook groups. This study introduces a knowledge base (KB) consisting of anonymous tweets on migration, called MigrationsKB (MGKB). Research methodology: Around 200 participants were collected from WhatsApp and Facebook groups of Hubli city between January 2018 and June 2018 and preprocessed and filtered using advanced modeling techniques. Perform BERT based site link and sentiment analysis supported by speech separator tracking to explain the instructions. Data analysis: External data is used to identify the underlying social and economic conditions that make populations vulnerable to migration. This analysis is based on correlations and regressions that show that countries with more foreigners have more negative information and discrimination. In order to strengthen research on the relationship between social sciences and computer science, its results are integrated into MGKB, resulting in a large impact of the existing ontology that takes into account public attitudes towards migration and fiscal measures. Discusses: In this study, the use and application of MGKB continues to be discussed and MGKB was opened to the public by supporting the FAIR policy. Conclusion: In the current version of MGKB the focus is on English, Hindi and Kannada language hence the section of the corpus is heavily influenced by the language of Hubli city.

Social Media, Measuring Public Attitudes, Driving Factors, Migration

"Analysis Social Media For Measuring Public Attitudes Toward Their Driving Factors: A Reference In Hubli", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.643-652, November-2018, Available :http://www.jetir.org/papers/JETIR1811d44.pdf

"Analysis Social Media For Measuring Public Attitudes Toward Their Driving Factors: A Reference In Hubli", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp643-652, November-2018, Available at : http://www.jetir.org/papers/JETIR1811d44.pdf