Help train your machine learning model to better understand text so it can respond more accurately to human interaction
When working with text data to train your machine learning algorithm, linguistic annotation is a key tool to ensure that your solution can correctly analyze text. Whether your goal is to analyze social media data for sentiment analysis, use Natural Language Understanding to extract information or answer questions, or you are working on another solution that needs to recognize and understand text, linguistic annotation plays an important role in the process of training your algorithm.
Our expert linguists provide a wide variety of services that help train your machine learning model to better understand language.
– part-of-speech tagging
– named entity tagging
– semantic roles and relations
Our skilled team can ramp quickly to ensure that your data is annotated in your desired timeframe in over 180 language and dialects.
With over 20 years in the industry, Appen has worked with technology leaders to provide the high quality data needed to improve their solutions. With access to an experienced crowd of over 1 million people worldwide, and a team of experienced project managers, we can quickly scale to meet your needs.
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