The Topic Tagging API is a transformative tool that empowers you to extract valuable insights from textual data. By simply passing in a text input, you can unleash the power of advanced natural language processing techniques to retrieve the underlying topic or topics present within the text. This API leverages cutting-edge algorithms to provide accurate and meaningful topic identification, making it an invaluable asset for a wide range of applications.
Pass the text that you want to categorize. The API will retrieve all the possible categories or tags for that topic.
API to automatically categorize and tag articles, blog posts, news pieces, and other textual content. This enables efficient content organization and enhances the user experience by providing relevant and personalized recommendations based on the identified topics.
Social Media Monitoring: Brands and marketing agencies can employ the API to monitor social media conversations and identify the key topics being discussed. This allows them to gain real-time insights into customer sentiments, trends, and preferences, enabling them to tailor their marketing strategies accordingly.
News Analysis: News outlets and journalists can leverage the API to analyze and tag news articles, enabling them to categorize news content, track emerging topics, and enhance search functionality on their platforms. This facilitates efficient news delivery, enabling readers to access information quickly and conveniently.
Customer Feedback Analysis: Companies can use the Topic Tagging API to analyze customer feedback, reviews, and surveys. By identifying the main topics within the feedback, businesses can gain valuable insights into customer satisfaction levels, identify pain points, and make data-driven decisions to improve their products or services.
Content Recommendation Engines: Content recommendation platforms can integrate the Topic Tagging API to analyze user preferences, understand their interests, and generate personalized content recommendations. By accurately tagging content with relevant topics, the API enhances the recommendation engine's ability to provide highly tailored and engaging content suggestions.
Besides the number of API calls, there is no other limitation
Detect and generate human like topics to the given text.
Object | Description |
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text |
[Required] Enter some text to generate topics (maximum 200 words or 3,000 characters) |
{"keyword":{"computer":4,"study":2,"science":2,"structure":2,"information":2,"compute":2,"cell":1,"design":1,"memory":1,"transcribe":1},"topic":{"computer science":0.5010800744878956,"study":0.3001862197392924,"machine":0.2309124767225326,"system":0.2309124767225326,"human":0.2309124767225326,"art":0.20782122905027933,"technology":0.18472998137802607,"biology":0.18472998137802607,"research":0.18472998137802607},"version":"7.5.5","author":"twinword inc.","email":"[email protected]","result_code":"200","result_msg":"Success"}
curl --location --request GET 'https://zylalabs.com/api/2230/topic+tagging+api/2079/topic+tagging?text=Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a computer memory or transcribed in genes and protein structures in a biological cell. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Topic Tagging API REST API, simply include your bearer token in the Authorization header.
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Topic Tagging API leverages state-of-the-art natural language processing algorithms, resulting in high accuracy in identifying topics within text. However, the accuracy can vary depending on the complexity and quality of the input text.
Around 10k chars.
Yes, the Topic Tagging API supports multiple languages, including but not limited to English, Spanish, French, German, and more. The language detection capabilities ensure accurate topic tagging for texts in various languages.
The API can provide a confidence score or weightage indicating the level of certainty for each identified topic. This score reflects the likelihood of the topic being relevant to the text and can be used to prioritize or filter the results based on confidence level.
Yes, the Topic Tagging API can handle real-time analysis of incoming textual data streams, allowing for immediate topic identification and processing of data as it arrives.
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