Natural Language Processing (NLP) PDF

Natural Language Processing (NLP) is an interdisciplinary field that enables computers to understand, interpret and generate human language. NLP Areas of Use: Research Text Classification and Analysis Information Extraction Machine Translation NLP Areas of Use: Language Text Summar...

Natural Language Processing (NLP) is an interdisciplinary field that enables computers to understand, interpret and generate human language. NLP Areas of Use: Research Text Classification and Analysis Information Extraction Machine Translation NLP Areas of Use: Language Text Summarization Sentiment analysis Language Modeling NLP Areas of Use: Internet Search Engines Social Media Customer Service Chatbots Benefits of NLP Increases productivity Creates innovative products and services Provides better customer experience Enables better decision making  PROS Main advantages of using NLP is that it allows for more efficient communication between humans and computers. With NLP, users can interact with computers using natural language, rather than having to learn a specific programming language or input commands in a specific format. This makes it easier for people who are not trained in computer science to use and benefit from technology. CONS However, there are also some potential downsides to using NLP. One concern is that NLP algorithms can be biased, as they are trained on data that may not be representative of the entire population. This can lead to inaccurate or unfair results, where NLP is often used to make decisions.  CONCLUSION: Natural Language Processing (NLP) is an interdisciplinary field that uses computers to understand and interpret human language. It aids in text classification, analysis, information extraction, machine translation, text summarization, sentiment analysis, and language modeling. NLP also aids search engines in understanding queries and semantic search, moderates social media content, and creates customer service chatbots. Benefits include increased productivity, innovative products and services, improved customer experience, and better decision-making through analysis and decision-making.  References: Orkun Orulluoğlu. (2023). Natural Language Processing: Current Uses, Benefits and Basic Algorithms. https://medium.com/@bayramorkunor/natural-language- processing-current-uses-benefits-and-basic-algorithms-963fffa722a7 Bonifas Angkadiredja. (2023). NLP - Pro & Cons (not in-depth analysis). https://www.linkedin.com/pulse/nlp-pro-cons-in-depth-analysis-bonifas- angkadiredja/ Lisa Hann. (2023). How AI Chatbots are Revolutionizing Customer Support in E- commerce. https://invocom.io/blog/customer-support-in-ecommerce/ Vishwa Patel. (2021). An Automatic Text Summarization: A Systematic Review. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405- 55462022000301259