Identify language of annual report
using AI
Below is a free classifier to identify language of annual report. Just input your text, and our AI will predict the sentiment expressed in the annual report - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-annual-report", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-annual-report/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/language-of-annual-report/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the sentiment expressed in the annual report.
This pretrained text model uses a Nyckel-created dataset and has 46 labels, including Arabic, Basque, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English and Estonian.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment expressed in the annual report).
Whether you're just curious or building language of annual report detection into your application, we hope our classifier proves helpful.
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Need to identify language of annual report at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Regulatory Compliance Monitoring: This function can be used by regulatory bodies to automatically classify the language of annual reports submitted by companies. By identifying if the report adheres to required language standards, it helps in ensuring compliance with legal and industry regulations.
- Automated Report Analysis: Investment firms can utilize this classification function to quickly categorize annual reports based on their language style and tone. This enables analysts to streamline their review process, focusing on those reports that match specific investment criteria.
- Sentiment Analysis for Stakeholders: Corporations can use this function to identify the emotional tone of their annual reports. By classifying the language, stakeholders can gauge sentiment towards the company's performance and outlook, informing their decision-making processes.
- Language Consistency Checks: Companies can employ this tool to ensure consistency in language across their annual reports and other public documents. It can help identify discrepancies in terminology or tone, maintain brand voice, and support better communication strategies.
- Investor Relation Strategy: Investor relations teams can analyze language classification to tailor their communications based on the insights gained from annual reports. This allows for more effective engagement with investors by addressing their preferences for specific language styles and terminologies.
- Market Research Insights: Market researchers can leverage this function to classify reports across various industries. This can help in understanding industry trends in reporting language, allowing for better strategic planning and benchmarking against competitors.
- Academic Research and Analysis: Researchers in finance and business can use this function to study the impact of language on investor perceptions and corporate transparency. By classifying and analyzing reports, they can derive insights into how language influences financial decision-making.