Olha is an experienced text annotator who has specialized in text annotation and has over 5 years of experience in the educational and service industries. She is an excellent tutor, translator, and manager assistant who has built an excellent reputation for resolving problems and improving customer satisfaction. With her expertise in text annotation and excellent organizational skills, Olha is eager to contribute to the team’s success through hard work, constant learning, and attention to detail.
Olha’s expertise in text annotation is unparalleled, and she has worked with a variety of annotation tools, including Labelbox, Tagtog, and Dataturk.
Experienced Text Annotation Specialist and Multifaceted Professional
Olha is proficient in a variety of annotation tasks, including named entity recognition, sentiment analysis, and text classification:
Named Entity Recognition
Olha is skilled in identifying and extracting named entities from text data. She can identify and classify different types of entities such as people, organizations, and locations. Olha’s expertise in NER can help improve the performance of machine learning models and enable accurate entity extraction from unstructured text data.
Olha has experience in analyzing the sentiment of text data. She can identify the sentiment of text, such as positive, negative, or neutral. Her expertise in sentiment analysis can help businesses to understand the opinions and attitudes of their customers towards their products or services.
Olha is skilled in classifying text data into different categories. She can create custom categories and classify the text data based on those categories. Olha’s expertise in text classification can help businesses to organize and categorize large volumes of text data, making it easier to extract insights and analyze the data.
She has experience in data entry, data processing, and data analysis, and can use these skills to support project management and customer relationship management activities. She can work with both structured and unstructured data and can develop custom annotation workflows as needed.
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