Natural Language Processing (NLP)
Text Analysis:
Analyzing and extracting insights from unstructured text data, including customer feedback, social media posts, emails, and documents, to uncover patterns, sentiments, and trends.
Language Understanding:
Understanding and interpreting human language in context, enabling applications to comprehend user intent, extract key information, and generate appropriate responses.
Sentiment Analysis:
Identifying and classifying sentiment expressed in text data as positive, negative, or neutral, allowing organizations to gauge customer satisfaction, brand perception, and market sentiment.
Entity Recognition:
Recognizing and extracting entities such as names, organizations, locations, dates, and products from text data, facilitating information retrieval, categorization, and knowledge discovery.
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Language Translation:
Translating text between multiple languages accurately and efficiently, enabling cross-cultural communication, localization, and global expansion efforts.
