Enhancing Electoral Participation in Karnataka Elections 2018
Analyzing voter turnout in Karnataka 2018 elections with a focus on districts and polling stations. Objectives include boosting turnout, bridging gaps, and voter education. Targeted interventions cover various voter groups. SVEEP components and outreach activities are highlighted.
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Understanding ABS Voter Boards and Key Players in Election Administration
Learn about ABS basics and terms, qualifications for ABS Voter Board and Central Count Team members, responsibilities of key players like County Chairs and Clerks, and the essential tasks performed by ABS Voter Boards and Central Count Teams in election processes as presented by Angie Nussmeyer at t
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Voter Registration Process in New York State: A Comprehensive Guide
Learn how to run a successful voter registration drive in New York State with this detailed guide. Explore who qualifies to register, how New Yorkers can register online, in-person, or by mail, what is needed for registration, and the mandatory questions on the registration form. Get insights into o
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How to Do Web Scraping and Sentiment Analysis of Customer Reviews
\nWeb Scraping and Sentiment Analysis of Customer Reviews assesses sentiment. Combined, they provide insights into customer opinions for businesses.\n\nKNOW MORE>>\/\/ \/web-scraping-and-sentiment-analysis-of-customer-reviews.php\n\n
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Voter Registration Process in Colorado
Learn about voter registration in Colorado, including eligibility requirements, automatic voter registration process, new registration statistics, and online voter registration. Discover who is eligible to register, how automatic registration works, and the options available to voters in the state.
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Bihar State SVEEP Action Plan & Activities Overview
The Bihar State SVEEP (Systematic Voters' Education and Electoral Participation) Action Plan outlines various activities at the state, district, and booth levels to increase voter awareness and participation. The plan includes initiatives such as multimedia campaigns, workshops, poster competitions,
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Evidence-Based Practices for Effective Voter Mobilization
This tutorial provides research-based principles for effective voter mobilization, focusing on evidence-based practices for Get-Out-the-Vote (GOTV) activities. It covers dos and don'ts of voter mobilization, emphasizing the importance of connecting with voters, using gentle social pressure, and advo
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US Virgin Islands Voter Statistics and Demographics Overview
This comprehensive report provides insights into the voter statistics and demographics of the US Virgin Islands as of November 5, 2018. It includes data on party affiliations, age groups, and political landscape, offering a detailed analysis of the active voter population in the region.
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Understanding Sentiment Classification Methods
Sentiment classification can be done through supervised or unsupervised methods. Unsupervised methods utilize lexical resources and heuristics, while supervised methods rely on labeled examples for training. VADER is a popular tool for sentiment analysis using curated lexicons and rules. The classif
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Enhancing Voter Engagement: Activities and Assignments for Social Work Students
Explore a variety of engaging activities and assignments designed to enhance voter engagement among social work students. From webinars and recorded programming to researching voting rules and developing social media plans, these activities aim to equip students with the knowledge and skills necessa
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Evidence-Based Practices for Voter Mobilization by League of Women Voters of Texas Education Fund
This guide provides research-based principles and effective strategies for voter mobilization, aiming to enhance voter turnout through evidence-based practices. It covers dos and don'ts of voter mobilization, emphasizing the importance of connecting with voters on a personal level and focusing on th
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Understanding Sentiment Analysis in Various Contexts
Sentiment analysis, also known as opinion mining, is the process of analyzing text to determine if it expresses a positive, negative, or neutral sentiment. It has applications in analyzing movie reviews, product feedback, public opinion, and political sentiments. By extracting and analyzing sentimen
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WEB-SOBA: Ontology Building for Aspect-Based Sentiment Classification
This study introduces WEB-SOBA, a method for semi-automatically building ontologies using word embeddings for aspect-based sentiment analysis. With the growing importance of online reviews, the focus is on sentiment mining to extract insights from consumer feedback. The motivation behind the researc
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Voter Registration Responsibilities and Procedures at MVD Offices
Presented by Raul Alvarez at the 2010 Managers Conference, this information outlines the key responsibilities for Voter Registration Contacts at MVD offices. It includes details on the importance of having designated contacts, handling voter registration forms, and adhering to procedures to offer vo
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Semi-Automatic Ontology Building for Aspect-Based Sentiment Classification
Growing importance of online reviews highlights the need for automation in sentiment mining. Aspect-Based Sentiment Analysis (ABSA) focuses on detecting sentiments expressed in product reviews, with a specific emphasis on sentence-level analysis. The proposed approach, Deep Contextual Word Embedding
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Voter Sentiment Analysis on Country's Track and Economy - May 2017
A survey conducted in May 2017 among 2,006 registered voters in the United States reveals insights into voter sentiment regarding the country’s track and the economy. Findings show voters' perceptions on the track of the nation, the strength of the U.S. economy, and approval ratings for President
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Poll Worker Training Guidelines for Voter Processing
Training guidelines for poll workers provided by the State Board of Election Commissioners focus on key aspects such as handling voter eligibility, primary elections, voter identification, and steps for processing voters during voting hours. The guidelines emphasize not turning away any voter, handl
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Understanding Voter Outreach Laws for Schools and Colleges
Explore the requirements for voter registration in high schools and postsecondary institutions. Learn about the obligations of school districts to provide voter registration applications to eligible students and the importance of voter participation in educational settings. Discover how institutions
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PTA Election Activities Guide: Engaging PTA Members in Voter Participation
Explore the comprehensive guide on PTA election activities focusing on voter engagement, nonpartisan approaches, and effective timelines. Learn the importance of PTA involvement in voter registration, building community influence, and advocacy for PTA priorities to legislators. Gain insights on rema
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Understanding Voter Registration and Updates
Discover how voter registration works, eligibility criteria, methods of registration, deadlines, and the role of election officials. Learn about the National Voter Registration Act and the importance of maintaining accurate voter lists for safeguarding voters. Get insights into the processes involve
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Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification
A study conducted by Zheng Li, Ying Wei, Yu Zhang, and Qiang Yang from the Hong Kong University of Science and Technology on utilizing a Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification. The research focuses on sentiment classification testing data of books, training
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Evolution of Sentiment Analysis in Tweets and Aspect-Based Sentiment Analysis
The evolution of sentiment analysis on tweets from SemEval competitions in 2013 to 2017 is discussed, showcasing advancements in technology and the shift from SVM and sentiment lexicons to CNN with word embeddings. Aspect-Based Sentiment Analysis, as explored in SemEval2014, involves determining asp
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Using Word Embeddings for Ontology-Driven Aspect-Based Sentiment Analysis
Motivated by the increasing number of online product reviews, this research explores automation in sentiment mining through Aspect-Based Sentiment Analysis (ABSA). The focus is on sentiment detection for aspects at the review level, using a hybrid approach that combines ontology-based reasoning and
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Understanding Sentiment Analysis: A Comprehensive Overview
Sentiment analysis, also known as opinion mining, is the process of evaluating written or spoken language to determine the positivity, negativity, or neutrality of the expression. It involves the systematic identification, extraction, and study of affective states and subjective information using na
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Duties of Election Commissioners Regarding Voter Roll Maintenance in Mississippi
The Mississippi Secretary of State's Office outlines the responsibilities of election commissioners in maintaining the voter roll. Commissioners must meet at designated times to discuss voter status changes and removals. Individual commissioners handle ministerial tasks between meetings and present
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Uncovering the Influence of Media on Investor Sentiment in the Stock Market
This paper explores the interconnectedness between media content and investor sentiment in the stock market, focusing on the impact of media reports on daily market activity. It delves into the relationship between media pessimism and stock market returns, highlighting how different levels of sentim
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SASOBUS: Semi-Automatic Sentiment Domain Ontology Building Using Synsets
Building on the need for automation due to the increasing volume and significance of online reviews, SASOBUS focuses on Aspect-Based Sentiment Analysis (ABSA). The motivation behind SASOBUS lies in the growth of sentiment mining for product reviews, particularly at the sentence level. Its approach i
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Voter Sentiment Analysis on Economy and Financial Situations in September 2017
Voter sentiment regarding the direction of the country, the economy, and personal financial situations in September 2017 was analyzed through a survey conducted online among 2,177 registered voters. Results show that voters are more optimistic about the economy than the overall country with a majori
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Implicit Citations for Sentiment Detection: Methods and Results
This study focuses on detecting implicit citations for sentiment detection through various tasks such as finding zones of influence, citation classification, and corpus construction. The research delves into features for classification, highlighting the use of n-grams, dependency triplets, and other
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Comprehensive Guide to Election Administration and Voter Registration Maintenance
This comprehensive guide covers essential topics related to election administration, including setting up elections, voter registration maintenance processes, generating rosters and greeter's lists, and more. Learn about the activation of elections, pre-election voter maintenance, and post-election
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Youth Civic Engagement: Understanding and Improving Voter Turnout
Explore the importance of youth civic engagement and voter turnout, highlighting different forms of civic engagement and the impact of disparities in voter turnout. Learn why youth voting matters, ways to improve youth voter turnout, and strategies to increase youth engagement in the democratic proc
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Enhancing Voter Participation in Lesotho through Education and Engagement
The Independent Electoral Commission of Lesotho has actively worked to improve the electoral process and boost voter confidence through initiatives like civic and voter education. Recognizing the importance of educating various groups, they engaged Civil Society Organizations, political parties, and
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Cognitive Study of Subjectivity Extraction in Sentiment Annotation
A cognitive study on extracting subjectivity in sentiment annotation, exploring if humans perform subjective extraction similarly to machines for sentiment analysis. The study investigates sentiment oscillations and different methods adopted based on the nature of subjective documents.
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Florida Department of State Voter Registration Services Overview
The Florida Department of State's Bureau of Voter Registration Services provides an overview of their structure, functions, and registration processes. They maintain voter records, ensure quality control, and handle various tasks related to voter eligibility and reporting. Special programs like the
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Understanding Sentiment Analysis and Opinion Mining
Sentiment analysis (SA) or opinion mining is a computational study of opinion, sentiment, appraisal, evaluation, and emotion, which plays a crucial role in influencing behaviors and decision-making processes. This field has gained significance with the rise of social media, offering insights into pu
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Media Influence on Investor Sentiment and Stock Market Behavior
This literature review by Paul C. Tetlock explores the role of media in shaping investor sentiment and impacting stock market dynamics. The study delves into the correlation between media pessimism, market prices, trading volume, and volatility, providing insights into how media content affects mark
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Enhancing Arabic Sentiment Analysis Using Fuzzy Logic Approach
Presenter Mariam Biltawi from Princess Sumaya University for Technology in Jordan discusses a research project on enhancing automatic polarity classification of Arabic text using a lexicon-based approach with fuzzy logic. The project utilizes a large-scale Arabic book reviews dataset and a sentiment
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Understanding Aspect-Based Sentiment Analysis in Text Mining
Aspect-Based Sentiment Analysis plays a crucial role in extracting, identifying, and characterizing sentiment content within text data. This analysis helps in understanding how people perceive various aspects in reviews, blogs, and online discussions. The process involves detecting entities, aspects
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Ontology-Driven Review-Level Aspect-Based Sentiment Analysis
This study presents an innovative approach to sentiment analysis at the review level, focusing on aspect-based sentiment analysis (ABSA) using ontologies. Motivated by the increasing volume of product reviews online, the research addresses the challenge of detecting sentiment associated with aspects
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Multilingual Sentiment Analysis for Enhanced Language Resources
This presentation discusses the EUROSENTIMENT project focusing on generating multilingual variants for sentiment lexicons. Addressing challenges in sentiment analysis, the project aims to build a shared language resource pool to improve adaptability and interoperability of language resources. Object
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