Summary
In this module, you have learned about the fundamentals of text analytics and concepts such as tokenization, frequency analysis, and text classification. You've also been introduced to semantic language models that encode language tokens as vectors for grouping related words. The module further delved into the application of these techniques in natural language processing tasks like text analysis, sentiment analysis, machine translation, summarization, and conversational AI solutions. Additionally, you've gained insights into Azure AI Language service and its role in providing these capabilities for text analytics. You can learn more from the Azure AI Language Documentation