Identify business proposal sentiment
using AI
Below is a free classifier to identify business proposal sentiment. Just input your text, and our AI will predict the sentiment of your business proposal - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("business-proposal-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/business-proposal-sentiment/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/business-proposal-sentiment/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the sentiment of your business proposal.
This pretrained text model uses a Nyckel-created dataset and has 16 labels, including Critical, Disappointed, Enthusiastic, Favorable, Hopeful, Negative, Neutral, Optimistic, Pessimistic and Positive.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of your business proposal).
Whether you're just curious or building business proposal sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify business proposal sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Proposal Evaluation: This function can automatically assess the sentiment of business proposals submitted by various teams. By identifying positive, negative, or neutral sentiments, decision-makers can prioritize proposals that align with the company's strategic goals and culture.
- Client Feedback Analysis: Organizations can utilize this tool to analyze client feedback on proposals. By determining the sentiment, businesses can gain insights into client perceptions, allowing them to adjust their proposals for improved acceptance rates.
- Competitor Benchmarking: Companies can leverage this function to analyze the sentiment of proposals from competitors in the same market space. Understanding how competing proposals are perceived can inform strategic adjustments to improve their own offerings.
- Proposal Refinement: The sentiment identifier can be integrated into proposal drafting processes to evaluate drafts in real-time. Writers receive feedback on the emotional tone of their content, enabling them to enhance persuasive elements and address potential drawbacks.
- Risk Assessment: This tool can help organizations identify red flags in proposals, such as negativity or reluctance in the sentiment. Recognizing these signs early can minimize risks associated with project launches and business engagements.
- Stakeholder Engagement: Businesses can use sentiment analysis to gauge the emotional responses of stakeholders reviewing proposals. This insight allows for targeted communication strategies, ensuring that concerns are addressed before formal presentations.
- Performance Monitoring: By tracking the sentiment of accepted and rejected proposals over time, companies can analyze trends related to their proposal strategies. This data can inform continuous improvement efforts in proposal development and submission strategies.