Identify user sentiment about tobacco products
using AI
Below is a free classifier to identify user sentiment about tobacco products. Just input your text, and our AI will predict user sentiment towards tobacco products - 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("user-sentiment-about-tobacco-products", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/user-sentiment-about-tobacco-products/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/user-sentiment-about-tobacco-products/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict user sentiment towards tobacco products.
This pretrained text model uses a Nyckel-created dataset and has 18 labels, including Ambivalent, Condemning, Detrimental, Dissatisfied, Encouraging, Enthusiastic, Favorable, Negative, Neutral and Optimistic.
We'll also show a confidence score (the higher the number, the more confident the AI model is around user sentiment towards tobacco products).
Whether you're just curious or building user sentiment about tobacco products detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify user sentiment about tobacco products at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Market Research Enhancement: Businesses can use the user sentiment identifier to gain insights into consumer perceptions of tobacco products. By analyzing sentiment trends, companies can tailor their marketing strategies and identify potential areas for product improvement.
- Regulatory Compliance Monitoring: Tobacco companies can employ sentiment analysis to monitor public opinion regarding their products amidst changing regulations. This can help them proactively respond to negative sentiment and adjust their messaging to align with regulatory requirements.
- Brand Reputation Management: A sentiment identifier can assist in tracking public sentiment over time, enabling brands to address issues that could harm their reputation. Timely intervention based on sentiment data can mitigate negative perceptions and improve overall brand image.
- Targeted Advertising Campaigns: By understanding user sentiment, marketers can create more targeted advertising campaigns that resonate with consumer opinions. This can lead to higher engagement rates and an increase in effective outreach efforts.
- Product Development Insights: Insights gained from user sentiment analysis can inform product development by highlighting desired features or aspects to improve. Companies can leverage this feedback to create tobacco products that better meet consumer needs and preferences.
- Competitive Analysis: Businesses can analyze sentiment around competitors’ tobacco products to benchmark their offerings against industry expectations. This information can help in strategizing to outperform competitors by addressing gaps or weaknesses identified in sentiment trends.
- Crisis Management: During a public relations crisis related to tobacco products, sentiment analysis can help identify the scope and nature of the issue. By understanding public feelings, companies can devise effective communication strategies to manage the situation and restore trust.