Top 5 types of Natural language Processing (NLP) #nlp #machinelearning #deeplearning #ai
We can provide you with the top 5 types of natural language processing (NLP) techniques:
5. Sentiment Analysis: Sentiment analysis is the process of analyzing text data to determine the emotional tone or sentiment behind it. It is used in social media monitoring, customer service, and brand reputation management.
4. Named Entity Recognition (NER): NER is the process of identifying and extracting entities such as people, organizations, and locations from text data. It is used in information extraction, text mining, and entity linking.
3. Text Classification: Text classification is the process of assigning predefined categories or labels to text data based on its content. It is used in spam detection, topic modeling, and sentiment analysis.
2. Topic Modeling: Topic modeling is the process of identifying hidden patterns or topics in a collection of text documents. It is used in text mining, information retrieval, and recommendation systems.
1. Natural Language Generation (NLG): NLG is the process of generating natural language text from structured data or other forms of input. It is used in chatbots, personal assistants, and content generation.
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We can provide you with the top 5 types of natural language processing (NLP) techniques:
5. Sentiment Analysis: Sentiment analysis is the process of analyzing text data to determine the emotional tone or sentiment behind it. It is used in social media monitoring, customer service, and brand reputation management.
4. Named Entity Recognition (NER): NER is the process of identifying and extracting entities such as people, organizations, and locations from text data. It is used in information extraction, text mining, and entity linking.
3. Text Classification: Text classification is the process of assigning predefined categories or labels to text data based on its content. It is used in spam detection, topic modeling, and sentiment analysis.
2. Topic Modeling: Topic modeling is the process of identifying hidden patterns or topics in a collection of text documents. It is used in text mining, information retrieval, and recommendation systems.
1. Natural Language Generation (NLG): NLG is the process of generating natural language text from structured data or other forms of input. It is used in chatbots, personal assistants, and content generation.
Join this channel to get access to perks:
https://www.youtube.com/channel/UCyNJURC5bvqIQ9vO9PBrYrA/join
The Coding Bus
