Entity Extractor: Find People, Brands, Products and Places in Text
Finds the proper names, handles, dates and amounts in the text and decides the type of each. Ideal for catching the branch, product and staff names in reviews.
Examples
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.
- Person
- People's names: staff, customers, managers.
- Organisation
- Companies, institutions, chains or public bodies.
- Brand
- Brands and trademarks.
- Product
- Product, model or service names.
- Location
- City, district, address, mall or branch.
- Date / time
- Dates, days, times or periods.
- Amount
- Amounts of money and prices.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Staff and branch detection
Extract the employees and branches named in reviews to send praise and complaints to the right person.
- 02
Competitor and brand tracking
See which competitor brands and products customers mention to gain comparison insight.
- 03
Enriching complaint records
Pull dates, amounts and product names out of the text and store them as structured fields in your CRM or tickets.
- 04
Content tagging
Tag news, blog and social content by the people, organisations and places it mentions and make it searchable.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All toolsWant to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo