Twitter Sentiment Analysis of the 2019 Indian Election PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Twitter Sentiment Analysis of the 2019 Indian Election PDF full book. Access full book title Twitter Sentiment Analysis of the 2019 Indian Election by Jaydeep Motisariya. Download full books in PDF and EPUB format.
Author: Jaydeep Motisariya
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
With easily available internet services in India and the rest of the world in the recent past, there is more and more traction towards social media like Facebook, Twitter, Instagram, YouTube, etc. This has enabled individuals the freedom of speech and to display their sentiments and emotions towards society. Social media has brought people closer than ever before and has provided a common platform for individuals to communicate. Some influencers promote products on social media platforms, while politicians run their campaigns online for broader reach. Social media has become the fuel for globalization. In 2019, the Indian Lok Sabha Elections saw around 360 million tweets on Twitter, giving their opinions and showing their sentiment towards the political leaders and their parties. Sentiment analysis is the computational investigation of opinions, evaluations, views, and feelings expressed in a text. The political parties have used this technique to run their campaigns and understand the opinions of the public. This also enables them to modify their campaigns accordingly. In this research text mining was performed on approximately 200,000 thousand tweets collected over four months that referenced four national political parties in India during the campaigning period for the Lok Sabha elections in 2019. The sentiments of Twitter users were identified towards each of the considered Indian political parties, Congress, Bhartiya Janata Party (BJP), Aam Aadmi Party (AAP) and Bahujan Samaj Party (BSP) using VADER (Valence Aware Dictionary and sEntiment Reasoner). A lexicon and rule-based sentiment analysis engine was created that is the principal platform to evaluate the opinions expressed in social media. The results of the analysis show that Bhartiya Janata Party (BJP) being a lead runner in the elections of 2019 received more positive intent and emotions towards their campaigns and their leader Narendra Modi as compared to the other parties and their leaders.
Author: Jaydeep Motisariya
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
With easily available internet services in India and the rest of the world in the recent past, there is more and more traction towards social media like Facebook, Twitter, Instagram, YouTube, etc. This has enabled individuals the freedom of speech and to display their sentiments and emotions towards society. Social media has brought people closer than ever before and has provided a common platform for individuals to communicate. Some influencers promote products on social media platforms, while politicians run their campaigns online for broader reach. Social media has become the fuel for globalization. In 2019, the Indian Lok Sabha Elections saw around 360 million tweets on Twitter, giving their opinions and showing their sentiment towards the political leaders and their parties. Sentiment analysis is the computational investigation of opinions, evaluations, views, and feelings expressed in a text. The political parties have used this technique to run their campaigns and understand the opinions of the public. This also enables them to modify their campaigns accordingly. In this research text mining was performed on approximately 200,000 thousand tweets collected over four months that referenced four national political parties in India during the campaigning period for the Lok Sabha elections in 2019. The sentiments of Twitter users were identified towards each of the considered Indian political parties, Congress, Bhartiya Janata Party (BJP), Aam Aadmi Party (AAP) and Bahujan Samaj Party (BSP) using VADER (Valence Aware Dictionary and sEntiment Reasoner). A lexicon and rule-based sentiment analysis engine was created that is the principal platform to evaluate the opinions expressed in social media. The results of the analysis show that Bhartiya Janata Party (BJP) being a lead runner in the elections of 2019 received more positive intent and emotions towards their campaigns and their leader Narendra Modi as compared to the other parties and their leaders.
Author: Dr. D Rajeswara Rao
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Elections in general is a decision making process by which people choose an individual to hold power of public office. Recently, social media has a huge impact on people's opinion towards political parties, candidates and elections. Twitter is a blogging service which has millions of tweets over particular topic. Moreover, each tweet may have either a positive, negative or neutral sentiment towards the topic, which needs to be considered. We use different machine learning algorithms like Naive Baye's, Support Vector Machine both linear and radial basis kernel function. By gathering a large dataset of more than 500,000 tweets out of which 80% of data is taken for training algorithms and remaining 20% for testing. By applying this technique to Indian parliamentary and state elections we predict which political party has more influence on social media.
Author: Tomonobu Senjyu
Publisher: Springer Nature
ISBN: 9811639450
Category : Technology & Engineering
Languages : en
Pages : 804
Get Book Here
Book Description
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fifth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2021), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Author: Murugan Anandarajan
Publisher: Springer
ISBN: 3319956639
Category : Business & Economics
Languages : en
Pages : 294
Get Book Here
Book Description
This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.
Author: Anshul Verma
Publisher: CRC Press
ISBN: 1000835928
Category : Computers
Languages : en
Pages : 331
Get Book Here
Book Description
Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC). An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.
Author: Devesh Kapur
Publisher: Oxford University Press
ISBN: 019909313X
Category : Political Science
Languages : en
Pages : 383
Get Book Here
Book Description
One of the most troubling critiques of contemporary democracy is the inability of representative governments to regulate the deluge of money in politics. If it is impossible to conceive of democracies without elections, it is equally impractical to imagine elections without money. Costs of Democracy is an exhaustive, ground-breaking study of money in Indian politics that opens readers’ eyes to the opaque and enigmatic ways in which money flows through the political veins of the world’s largest democracy. Through original, in-depth investigation—drawing from extensive fieldwork on political campaigns, pioneering surveys, and innovative data analysis—the contributors in this volume uncover the institutional and regulatory contexts governing the torrent of money in politics; the sources of political finance; the reasons for such large spending; and how money flows, influences, and interacts with different tiers of government. The book raises uncomfortable questions about whether the flood of money risks washing away electoral democracy itself.
Author: Subrata K. Mitra
Publisher: Taylor & Francis
ISBN: 1000591050
Category : Political Science
Languages : en
Pages : 405
Get Book Here
Book Description
This book presents a comprehensive overview of India’s electoral democracy and political system. It provides an in-depth analysis of the 2019 parliamentary elections to explore three crucial facts of India’s political life: the legitimacy of political competition as the only basis of power; elections as the only legitimate basis of political competition; and political parties as the only legitimate agency to conduct political competition. The book argues that the vitality and resilience of India’s electoral democracy remain high owing to large mass participation in elections that are competitive and relatively free and fair. The volume includes key theoretical, empirical, and comparative perspectives on parties and elections from experts, and covers all major political parties of India, along with the performance of many representative regional parties. It discusses themes such as elections and party competition in India; ideology, interest, religion, and gender as they affect social mobilisation and political transaction; economic and politial change, and multiparty democracy; the dynamics of the Muslim vote; fluctuating electoral fortunes; and electoral campaigns and role of social media. This book will be an essential read for scholars and researchers of political science, political sociology, election studies, Indian politics, South Asian politics, and South Asian studies. It will also interest those in politics, public policy and governance, civil society organisations, media and journalism, and the general reader.
Author: Ambeth Kumar Visvam Devadoss
Publisher: Springer Nature
ISBN: 946463250X
Category : Computers
Languages : en
Pages : 198
Get Book Here
Book Description
This is an open access book. PECTEAM, being held for a period of two days, aims to witness the development of technologies in all technical and management domains. The major event in the conference is paper presentations on the latest advances in Engineering and Management disciplines from National and International academic sectors. Special emphasis is given to update newer technologies by Keynote speakers. PECTEAM is a premier platform for researchers and industry practitioners to share their new and innovative ideas, original research findings and practical development experiences in Engineering and Management through high quality peer reviewed papers.
Author: Bo Pang
Publisher: Now Publishers Inc
ISBN: 1601981503
Category : Data mining
Languages : en
Pages : 149
Get Book Here
Book Description
This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.
Author: Dipankar Das
Publisher: Academic Press
ISBN: 0323906370
Category : Computers
Languages : en
Pages : 272
Get Book Here
Book Description
Approx.330 pages Approx.330 pages
