Update output_topic_details.txt

output_topic_details.txt

@@ -52,11 +52,11 @@ Description: Ambient intelligence AmI is a term used in computing to refer to el
 
 Topic: Natural Language Processing
 
-Description: Field of linguistics and computer scienceFor other uses, see NLP.This article is about natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
+Description: Field of linguistics and computer scienceFor other uses, see NLP.This is natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
 
 Topic: NLP
 
-Description: Field of linguistics and computer scienceFor other uses, see NLP.This article is about natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
+Description: Field of linguistics and computer scienceFor other uses, see NLP.This is natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
 
 Topic: Recurrent Neural Network