Sentiment analysis
Identify and analyze the sentiments expressed in texts, such as whether a given statement is positive, negative, or neutral or detect emotions like happiness or anger.
Create high-quality and accurate text annotations for top-performing models.
Here’s an overview of what you can achieve with SuperAnnotate’s text annotation tool.
Identify and analyze the sentiments expressed in texts, such as whether a given statement is positive, negative, or neutral or detect emotions like happiness or anger.
Annotate the most relevant information within a text by identifying key sentences or phrases that capture the essence of a text to facilitate the process of summarization.
Annotate elements such as sentences, terms, and specific entities within texts to assist in the translation process.
Detect and classify named entities in text into predefined categories such as dates, locations, names of people, and many more.
Categorize your texts by assigning them with classes based on their contents and characteristics.
Pair questions with their corresponding answers to train your model how to generate accurate responses.
SuperAnnotate’s text editor is equipped with a range of features that helps you speed up the annotation process without compromising on quality.
Token annotation helps split texts into units based on specific linguistic knowledge. When you select part of a word, the entire word or compound word will be annotated, making text annotation seamless and error-free.
Instantly select and assign the same class to every occurrence of a word or phrase in a text.
SuperAnnotate provides innovative solutions for a breadth of industries and use cases, from autonomous driving to robotics, and more.
Create top-quality training data across all data types.
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