Text Analysis
Text Analysis is the process of extracting meaningful insights and information from written or spoken language. It involves using various techniques and tools to analyze and understand the structure, content, and context of text data. Text Analysis can be used for a variety of purposes, such as sentiment analysis, topic modeling, entity recognition, and summarization. It is widely used in fields such as marketing, customer service, social media analysis, and academic research. Text Analysis can be performed using both rule-based and machine learning-based approaches, and it often involves preprocessing steps such as tokenization, stemming, and stop-word removal. The output of Text Analysis can be visualized in various forms, such as word clouds, topic models, and sentiment charts.
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