Location Sentiment Data

in

Uruguay

Data Samples

Description

Techsalerator’s Location Sentiment Data for Uruguay aggregates valuable insights from a variety of sources to provide a comprehensive analysis of sentiment across various regions and environments within the country. This dataset captures sentiment data from social media, news outlets, and other public sources, allowing users to assess public opinion and emotional reactions to locations in Uruguay.

Top 5 Most Utilized Data Fields:
  1. Sentiment Score: Measures the overall sentiment in a specific location, categorizing it as positive, negative, or neutral.
  2. Location Coordinates: Provides precise geographic data, enabling users to map sentiment trends across Uruguay.
  3. Source Type: Identifies the type of source (e.g., social media, news articles, blogs) from which sentiment is derived.
  4. Time of Measurement: Records the timestamp for sentiment analysis, allowing users to track changes and trends over time.
  5. Sentiment Intensity: Quantifies the strength of sentiment, helping users understand the level of emotional engagement or reaction.
Top 5 Use Cases for Location Sentiment Data in Uruguay:
  1. Brand Reputation Monitoring: Assess and manage public sentiment around brands, products, or services within specific locations.
  2. Urban Planning: Analyze public sentiment to understand how people feel about different areas or projects in the city, guiding better decision-making for urban development.
  3. Market Research: Gather insights on consumer attitudes and opinions to inform product launches, marketing campaigns, and business strategies.
  4. Event Planning and Management: Monitor sentiment during public events, festivals, or protests to gauge public response and ensure better planning.
  5. Political Analysis: Understand public sentiment around political issues, candidates, and policies, especially during elections or major political events.
Top 5 Locations with Notable Sentiment Data Trends in Uruguay:
  1. Montevideo: High attention to tourism, cultural events, and political movements, with varying sentiment around local issues such as social policies and urbanization.
  2. Punta del Este: Sentiment centered around tourism, luxury developments, and the seasonal influx of international visitors, influencing public perception of the city.
  3. Colonia del Sacramento: Mixed sentiment around heritage conservation, tourism, and development, reflecting community concerns and economic growth.
  4. Salto: Sentiment related to local agricultural policies, economic opportunities, and regional development, particularly in the agricultural and manufacturing sectors.
  5. Maldonado: Positive sentiment towards environmental preservation efforts, tourism, and beach development, with concerns around sustainability and urban growth.
Accessing Techsalerator’s Location Sentiment Data for Uruguay:

To obtain Techsalerator’s Location Sentiment Data for Uruguay, contact info@techsalerator.com with your specific requirements. A customized quote will be provided based on the number of data fields and records needed, with datasets available for delivery within 24 hours. Ongoing access options are also available to meet long-term data needs.

Included Data Fields:
  • Sentiment Score
  • Location Coordinates
  • Source Type
  • Time of Measurement
  • Sentiment Intensity
  • Source Category (e.g., News, Social Media, Blogs)
  • Contextual Sentiment (e.g., Community, Political, Cultural)

Techsalerator’s dataset is a valuable resource for businesses, policymakers, and analysts seeking to understand and leverage sentiment trends across Uruguay. Make informed, data-driven decisions with this comprehensive dataset.

Location Sentiment Data for Uruguay

Q: How much does the Location Sentiment Data Dataset for Uruguay cost?
The cost of the Location Sentiment Data Dataset for Uruguay varies depending on factors such as the number of data fields, frequency of updates, and the volume of records required. For a precise pricing estimate, it's best to reach out to a Techsalerator Data specialist who can provide a customized quote based on your needs.

Q: How complete is the coverage of the Location Sentiment Data in Uruguay?
Techsalerator’s Location Sentiment Data for Uruguay offers comprehensive coverage across various regions and environments. The dataset aggregates insights from a wide array of entities, providing a well-rounded view of public sentiment across different locations within the country.

Q: How does Techsalerator collect this data?
Techsalerator collects Location Sentiment Data from reliable and diverse sources, including social media platforms, online reviews, surveys, blogs, and news outlets. The data is analyzed to gauge public perceptions and emotional responses to specific locations, providing insights into sentiment trends in both urban and rural areas.

Q: Can I select specific regions or focus on particular sentiment types within Uruguay using Techsalerator's Location Sentiment Data?
Yes, Techsalerator allows customization options to filter and select data based on specific regions or sentiment types within Uruguay. Whether you're interested in sentiment around political events, tourism, or local businesses, you can tailor the dataset to meet your specific needs. Contact a Techsalerator representative to get started with customizing the data.

Q: How do I pay for this dataset?
Techsalerator provides several secure payment options, including credit card payments, direct transfers, ACH (Automated Clearing House), and wire transfers. You can choose the payment method that best suits your needs.

Q: How do I receive the data?
Techsalerator offers multiple delivery methods for the Location Sentiment Data, ensuring easy access and integration. Data can be delivered via FTP, SFTP, S3 bucket, or email. The data is available in various formats such as JSON, CSV, TXT, or XLS, allowing you to select the format that fits your workflow best.

Pricing

Commercial Models

Availability

One-off purchase
Available
Data subscription (Monthly Updates)  
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Data subscription (Quarterly Updates)  
Available
Data subscription (Annual Updates)  
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Suitable Company Sizes

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Small Business
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Medium-sizedBusiness
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Enterprise

Quality

99%
Data Coverage
95%
Accuracy

Delivery

 Methods
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SFTP
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Email
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FeedAPI
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S3 Bucket
 Format
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.json
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.csv
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.xls
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.txt
Pricing available upon request

Most popular fields