Sentiment Data: Best Sentiment Datasets & Databases
What is Sentiment Data?
Sentiment data refers to information that captures the subjective opinions, attitudes, and emotions expressed by individuals towards a particular topic, product, or event. It is typically collected from various sources such as social media, customer reviews, surveys, and online discussions. Sentiment data is often analyzed using natural language processing techniques to determine the overall sentiment (positive, negative, or neutral) associated with the data, providing valuable insights for businesses and researchers.
Examples of Sentiment Data include social media posts, customer reviews, survey responses, and online comments. Sentiment Data is used to analyze and understand people’s opinions, attitudes, and emotions towards a particular topic, brand, product, or service. It helps businesses gain insights into customer satisfaction, brand perception, market trends, and public sentiment. In this page, you’ll find the best data sources for sentiment data analysis.
Best Sentiment Data Databases & Datasets
Here is Datarade's curated selection of top Sentiment Data. These trusted databases and datasets offer high-quality, up-to-date information.
The Data Appeal | Sentiment Data | API, Dataset | 200 Million+ POI Data Mapped | Monitor Customer Sentiment and Satisfaction by Points of Interest
Bright Data | Reddit Ticker-Mapped Sentiment Data
Stock Market Sentiment Data: Historical tick-by-tick sentiment data, real-time updates, and market indices globally
Elevate Campaigns based on Sentiment Discussed Data | Audience targeting data | Geo-Targeted Customer Sentiment Data Analysis | Trending Topics
E-commerce Reviews dataset - analyse customer sentiment & competitors
Opoint Media Monitoring | Web Data | Global News Data | 230K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions | Sentiment Analysis
EDI Short Interest Data - market sentiment indicator with global coverage
PromptCloud | Consumer Review Insights | Customer Sentiment Data Analysis | Market Trends | Scrape Ecommerce Websites
Scorri| Web activity data| Real estate| Property sentiment analysis| Share of voice| Brand health| Middle east| Global
Webautomation Reddit Data | Web Scraping Data | Uncover Trends, Sentiments and User Preferences | GDPR compliant
Popular Use Cases
Sentiment Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Frequently Asked Questions
Where can I buy Sentiment Data?
Data providers and vendors listed on Datarade sell Sentiment Data products and samples. Popular Sentiment Data products and datasets available on our platform are The Data Appeal | Sentiment Data | API, Dataset | 200 Million+ POI Data Mapped | Monitor Customer Sentiment and Satisfaction by Points of Interest by The Data Appeal Company, Bright Data | Reddit Ticker-Mapped Sentiment Data by Bright Data, and Stock Market Sentiment Data: Historical tick-by-tick sentiment data, real-time updates, and market indices globally by InfoTrie.
How can I get Sentiment Data?
You can get Sentiment Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Sentiment Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Sentiment Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Sentiment Data?
Sentiment Data is similar to Semantic Website Data, Cyber Risk Data, Social Media Data, IP Address Data, and Web Scraping Data. These data categories are commonly used for Sentiment Analysis.
What are the most common use cases for Sentiment Data?
The top use cases for Sentiment Data are Sentiment Analysis.