This study is part of a quadrennial series designed to investigate the opinions and attitudes of both the general public and a select group of opinion leaders (or elites) on matters relating to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. Both general public and elite respondents were queried regarding the biggest problems facing the United States, the spending levels for various federal government programs, the role of Congress in determining foreign policy, the impact of foreign policy on issues like prices and unemployment, and the Clinton Administration's handling of various problems such as the overall foreign policy, the overall trade policy, immigration, and the relations with Latin America, Japan, Russia, Cuba, Vietnam, and the Middle East. Questions were also asked about the government's reactions to the ongoing situations in Bosnia, North Korea, Haiti, Cuba, Rwanda, and the Middle East, the importance of various countries to America's vital interests, and possible adversaries or threats to the United States in the near future. Issues like the presence of NATO troops in Western Europe, the military role of Japan and Germany, the economic unification of Western Europe, the Israeli-Palestinian dispute, the North American Free Trade Agreement (NAFTA), and the illegal drugs problem were also explored. In addition, the elites were asked several questions about their political party affiliation and the strength of that affiliation. Demographic data such as religious preference, marital status, employment status, household composition, education, age, Hispanic origin, race, sex, and income were only collected for the general population sample.

This data collection is the 1990 version of a quadrennial study designed to investigate the opinions and attitudes of the general public and of a select group of opinion leaders (or elites) on matters relating to foreign policy. The primary objectives of this study were to define the parameters of public opinion within which decision makers must operate and to compare the attitudes of the general public with those of opinion leaders. For the purposes of this study, "opinion leaders" are defined as those who are in positions of leadership in government, academia, business and labor, the media, religious institutions, special interest groups, and private foreign policy organizations. Both general public and elite respondents were questioned regarding the biggest problems/foreign policy problems facing the United States today, spending levels for various federal government programs, the role of Congress in determining foreign policy, the impact of foreign policy on things such as prices and unemployment, economic aid to other nations, military aid/selling military equipment to other nations, the role of the United States in world affairs, the Bush administration's handling of various problems, government reactions to situations in Kuwait, Panama, and China, the importance of various countries to America's vital interests, possible threats/adversaries to the United States in coming years, and the use of United States military troops in other parts of the world. Other topics covered include the relative importance of several foreign policy goals, United States relations with the Soviet Union, Cuba, and Vietnam, NATO and keeping troops in western Europe, the military role of Japan and Germany, the economic unification of western Europe, the Israeli-Palestinian dispute, policy options to reduce dependence on foreign oil, the illegal drug problem, free trade, and the respondent's political party affiliation and the strength of that affiliation. In addition, general populace respondents were asked to indicate their level of political activity, how closely they followed news about several current issues and events, and to rate various foreign countries and American and foreign leaders on a feeling thermometer scale. Demographic characteristics such as religious preference, marital status, employment status, household composition, education, age, Hispanic origin, race, sex, and income also were gathered for these respondents.

The Latin America Public Opinion Project (LAPOP) implemented this survey in Honduras as part of its 2004 round surveys. The 2004 survey was conducted by Vanderbilt University with FundaUngo and IUDOP, the public opinion arm of the Universidad Centroamericana Simeon Canas (UCA) of El Salvador.

In 2023, the large majority of surveyed Americans believed that the cost of political campaigns made it more challenging for good people to run for office. Additionally, 72 percent agreed there should be limits on the amount of money spent on campaigns in the United States.

The Public Opinion Monitoring Systems market, valued at $2315 million in 2025, is projected to experience robust growth, driven by increasing government and enterprise reliance on real-time sentiment analysis for informed decision-making. The market's Compound Annual Growth Rate (CAGR) of 8.1% from 2025 to 2033 reflects a consistent demand for sophisticated systems capable of tracking and analyzing public sentiment across diverse media channels, including social media, news articles, and online forums. Key drivers include the growing need for proactive crisis management, enhanced brand reputation monitoring, and effective market research strategies. The cloud-based segment is expected to dominate due to its scalability, accessibility, and cost-effectiveness, while the media and government sectors will remain significant consumers. However, challenges such as data privacy concerns, the need for advanced analytical capabilities to sift through vast datasets, and the high implementation costs could potentially restrain market expansion. The market segmentation reveals significant opportunities within various application areas. The media sector leverages these systems to gauge public response to news coverage and shape future reporting. Government agencies use them for policy analysis and crisis response. Enterprises utilize them for brand reputation management and market research, while schools might employ them for sentiment analysis regarding educational initiatives. The geographical distribution showcases a strong presence in North America and Europe, driven by advanced technology adoption and stringent regulatory frameworks. However, the Asia-Pacific region is poised for significant growth given its increasing internet penetration and expanding digital economy. Companies such as Meltwater, Cision, and Sprinklr are key players, constantly innovating to offer advanced features and cater to evolving client needs. The projected growth will be fueled by the continuous refinement of AI-driven sentiment analysis, enabling quicker, more accurate insights from an ever-increasing volume of data.

Explore simulated US public opinion on immigration, revealing deep political divides, dissatisfaction with policy, and surprising areas of common ground on reform.

The Latin America Public Opinion Project (LAPOP) implemented this survey in Peru as part of its 2008 of round surveys. The 2008 survey was conducted by Vanderbilt University with the Instituto de Estudios Peruanos and APOYO Opinion y Mercadeo with funding by USAID.,

In 2024, Americans were divided on the levels of immigration in the United States. In that year, about 16 percent of survey respondents stated that they thought the level of immigration to the United States should be increased in the future. A further 55 percent of respondents thought that immigration levels should be decreased.

The Latin America Public Opinion Project (LAPOP) implemented this survey in Honduras as part of its 2010 round of surveys. The field work for the 2010 survey was Field work by Borge y Asociados.

CodeThis figshare repository hosts a collection of tools and scripts for Twitter data analysis, focusing on Election Prediction using sentiment analysis and tweet processing. The repository includes four key files:twitter_data_collection.py: This Python script is designed for collecting tweets from Twitter in JSON format. It provides a robust method for gathering data from the Twitter platform.EP.ipynb: EP.ipynb" is designed for sentiment analysis and tweet processing. It features three sentiment analysis methods: VADER, BERT, and BERTweet. It includes a US states dictionary for geolocating and categorizing tweets by state, providing sentiment analysis results in both volumetric and percentage formats. Furthermore, it offers time-series analysis options, particularly on a monthly basis. It also includes a feature for filtering COVID-19-related tweets. Additionally, it conducts election analysis at both state and country levels, giving insights into public sentiment and engagement regarding political elections.Datasetbiden and trump.csv Files:The "biden.csv" and "trump.csv" files together constitute an extensive dataset of tweets related to two prominent U.S. political figures, Joe Biden and Donald Trump. These files contain detailed information about each tweet, including the following key attributes:create_date: The date the tweet was created.id: A unique identifier for each tweet.tweet_text: The actual text content of the tweet.user_id: The unique identifier for the Twitter user who posted the tweet.user_name: The name of the Twitter user.user_screen_name: The Twitter handle of the user.user_location: The location provided by the user in their Twitter profile.state (location): The U.S. state associated with the user's provided location.text_clean: The tweet text after preprocessing, making it suitable for analysis.Additionally, sentiment analysis has been applied to these tweets using two different methods:VADER Sentiment Analysis: Each tweet has been assigned a sentiment score and a sentiment category (positive, negative, or neutral) using VADER sentiment analysis. The sentiment scores are provided in the "Vader_score" column, and the sentiment categories are in the "Vader_sentiment" column.BERTweet Sentiment Analysis: The files also feature sentiment labels assigned using the BERTweet sentiment analysis method, along with associated sentiment scores. The sentiment labels can be found in the "Sentiment" column, and the cleaned sentiment labels are available in the "Sentiment_clean" column.This combined dataset offers a valuable resource for exploring sentiment trends, conducting research on public sentiment, and analyzing Twitter users' opinions related to Joe Biden and Donald Trump. Researchers, data analysts, and sentiment analysis practitioners can utilize this data for a wide range of studies and projects.This repository serves as a resource for collecting, processing, and analyzing Twitter data with a focus on sentiment analysis. It offers a range of tools and datasets to support research and experimentation in this area.

The Chicago Council Surveys are part of a long-running series of public opinion surveys conducted by The Chicago Council on Global Affairs beginning in 1974. They were conducted quadrennially from 1974 to 2002, biennially from 2002 to 2014, and are now conducted annually. The surveys are designed to investigate the opinions and attitudes of the general public on matters related to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. This public opinion study of the United States focused on respondents' opinions of the United States' leadership role in the world and the challenges the country faces domestically and internationally. Data were collected on a wide range of international topics, including: United States' relations with other countries, role in foreign affairs, possible threats to vital interests in the next ten years, foreign policy goals, situations that might justify the use of United States troops in other parts of the world, international trade, United States' participation in potential treaties, U.S. policy towards Russia in Ukraine, the embargo on Cuba and the effects of renewed diplomatic relations with Havana, views of the nuclear deal with Iran and what effects that deal is likely to have, and United States' relations with allies in Asia. Respondents were also asked their opinion on domestic issues including climate change, measures to improve the United States' economic competitiveness, and their views on US immigration policy. Demographic information collected includes age, gender, race/ethnicity, marital status, left-right political self-placement, political affiliation, employment status, highest level of education, and religious preference, household income, state of residence, and living quarters ownership status.

Problem Statement 👉 Download the case studies here A global consumer goods company struggled to understand customer sentiment across various social media platforms. With millions of posts, reviews, and comments generated daily, manually tracking and analyzing public opinion was inefficient. The company needed an automated solution to monitor brand perception, address negative feedback promptly, and leverage insights for marketing strategies. Challenge Analyzing social media sentiment posed… See the full description on the dataset page: https://huggingface.co/datasets/globosetechnology12/Sentiment-Analysis-for-Social-Media-Monitoring.

Public opinion of the North Atlantic Treaty Organization (NATO) has remained relatively consistent throughout the last few years. According to a 2023 survey, just under half of Americans had a somewhat favorable view of NATO, while ** percent held a very favorable opinion of the international organization.

In 2024, 28 percent of survey respondents were satisfied with the level of immigration into the United States, while 64 percent of the respondents were dissatisfied. The year before, 28 percent of respondents were satisfied with the level of immigration into the country, and 63 percent were dissatisfied.

Public opinion matters. It registers itself on the public consciousness, translates into politics and policy, and impels politicians to run for office and, once elected, to serve in particular ways. This is a book about opinion—not opinions. James Stimson takes the incremental, vacillating, time-trapped data points of public opinion surveys and transforms them into a conceptualization of public mood swings that can be measured and used to predict change, not just to describe it. To do so, he reaches far back in U.S. survey research and compiles the data in such a way as to allow the minutiae of attitudes toward abortion, gun control, and housing to dissolve into a portrait of national mood and change. Using sophisticated techniques of coding, statistics, and data equalization, the author has amassed an unrivaled database from which to extrapolate his findings. The results go a long way toward calibrating the folklore of political eras, and the cyclical patterns that emerge show not only the regulatory impulse of the 1960s and 1970s and the swing away from it in the 1980s; the cycles also show that we are in the midst of another major mood swing right now—what the author calls the “unnoticed liberalism” of current American politics. Concise, suggestive, and eminently readable, Public Opinion in America is ideal for courses on public opinion, public policy, and methods, as well as for introductory courses in American government. Examples and illustrations abound, and appendixes document the measurement of policy mood from survey research marginals.

The most recent polling data from February 2025 puts the approval rating of the United States Congress at 29 percent, reflecting a significant increase from January. The approval rating remained low throughout the 118th Congress cycle, which began in January 2025. Congressional approval Congressional approval, particularly over the past few years, has not been high. Americans tend to see Congress as a group of ineffectual politicians who are out of touch with their constituents. The 118th Congress began in 2023 with a rocky start. The Democratic Party maintains control of the Senate, but Republicans took back control of the House of Representatives after the 2022 midterm elections. The House caught media attention from its first days with a contentious fight for the position of Speaker of the House. Representative Kevin McCarthy was eventually sworn in as Speaker after a historic fifteen rounds of voting. Despite the current Congress having a historic share of women and being the most diverse Congress in American history, very little has been done to improve the opinion of Americans regarding its central lawmaking body. Ye of little faith However, Americans tend not to have much confidence in many of the institutions in the United States. Additionally, public confidence in the ability of the Republican and Democratic parties to work together has decreased drastically between 2008 and 2022, with nearly 60 percent of Americans having no confidence the parties can govern in a bipartisan way.

The Latin America Public Opinion Project (LAPOP) implemented this survey in Panama as part of its 2008 round of surveys. The 2008 survey was conducted by Vanderbilt University and Alianza Ciudadana Pro Justicia with field work done by Borge y Asociados.,

Data and Stata code for replication. Abstract: This research note estimates an innovative state-level measure of antiimmigrant sentiment for use in future policy and behavioral studies. State governments are becoming increasingly active in adopting immigrant policies in the 2000s. Previous research highlights the role of public opinion, especially attitudes toward immigrants, in explaining policy priorities and outcomes. Unfortunately, most extant studies utilize political ideology or immigrant populations as rough proxies for public opinion. In this article, we estimate a reliable and valid measure of anti-immigrant sentiment at the state-level using survey aggregation with multilevel regression and poststratification (MRP) from 2004 to 2008. We compare our estimates of anti-immigrant sentiment to alternative measures of immigrant presence and political ideology in predicting multiple variations of state immigrant policies. Ultimately, we find theoretical and statistical advantages of using anti-immigrant sentiment over previous measures in predicting immigrant policies.

This repository contains the replication files for "Artificial Intelligence: American Attitudes and Trends" (January 2019) by Baobao Zhang and Allan Dafoe, published by the Center for the Governance of AI, Future of Humanity Institute, University of Oxford. Report website: https://governanceai.github.io/US-Public-Opinion-Report-Jan-2019/

Multilingual Sentiments Dataset

A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative. Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotions. However, to an average person, sometimes positive, negative and neutral classes suffice and are more straightforward to perceive and annotate. Also, a positive/negative… See the full description on the dataset page: https://huggingface.co/datasets/tyqiangz/multilingual-sentiments.