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Natural Language Processing
Project type
Sentiment analysis
Date
December 2016
Location
Bangalore and USA
These projects involve working with text data, using AI and ML techniques to process, understand, and generate human language.
Text Classification: Categorizing text into predefined labels (e.g., sentiment analysis).
Example: Email categorization, customer feedback analysis.
Named Entity Recognition (NER): Identifying proper names, locations, and other entities in text.
Example: Extracting company names and dates from news articles.
Machine Translation: Translating text from one language to another.
Example: Google Translate.
Text Generation: Creating new text based on patterns learned from a corpus of text.
Example: Chatbots, article generation (like GPT-based models).