Natural Language Processing Applications IT Powerpoint Presentation Slides

Slide 1: This slide displays the title Natural Language Processing Applications (IT).
Slide 2: This slide displays the title AGENDA.
Slide 3: This slide exhibit table of content.
Slide 4: This slide exhibit table of content.
Slide 5: This slide exhibit table of content- Current Problems Faced by Company
Slide 6: This slide depicts the company's current problems, including spam emails, long waiting times for customer queries, and unstructured data.
Slide 7: This slide exhibit table of content- Need for NLP.
Slide 8: This slide describes the importance of natural language processing and how it helps manage unstructured and large in size data.
Slide 9: This slide depicts the global natural language processing market size from 2019 to 2025.
Slide 10: This slide describes the global natural language processing market share.
Slide 11: This slide represents the benefits of using NLP in business.
Slide 12: This slide exhibit table of content- Overview of NLP.
Slide 13: This slide represents natural language processing and how it takes speech and text as inputs to interact with humans or machines.
Slide 14: This slide represents the advent of natural language processing that shows how it has been a part of artificial intelligence and its growth throughout the years.
Slide 15: This slide represents the natural language understanding in NLP and how it works to address the ambiguities.
Slide 16: This slide depicts the natural language generation and stages.
Slide 17: This slide represents how NLP relates to natural language understanding and natural language generation.
Slide 18: This slide exhibit table of content- Components and Phases of Natural Language Processing
Slide 19: This slide describes the working of NLP, including lexical analysis, syntax analysis, semantic analysis, discourse analysis, and pragmatic analysis.
Slide 20: This slide represents the steps included in natural language processing and their detailed working.
Slide 21: This slide exhibit table of content- Architecture of NLP
Slide 22: This slide represents the natural language processing system architecture and how it works to respond to given commands or instructions by the user.
Slide 23: This slide describes the phases of natural language processing architecture, including communication goals, knowledge base, different models, grammar, and algorithms.
Slide 24: This slide depicts the rule-based NLP model, machine learning-based NLP model, and deep learning-based natural language processing model.
Slide 25: This slide exhibit table of content- Working and Approaches of NLP
Slide 26: This slide represents how natural language processing works through morphological processing, parsing, semantic analysis, and pragmatic analysis.
Slide 27: This slide depicts natural language processing working and how each component.
Slide 28: This slide depicts the typical natural language processing pipeline by describing how information is processed in natural language processing.
Slide 29: This slide represents the approaches to natural language processing such as the symbolic approach, statistical approach, and connectionist approach.
Slide 30: This slide represents the natural language processing algorithms such as rule-based algorithms and machine learning algorithms.
Slide 31: This slide shows the main functions of NLP algorithms.
Slide 32: This slide represents the tasks performed in natural language processing.
Slide 33: This slide exhibit table of content- Techniques and Tools used for Natural Language Processing
Slide 34: This slide represents the syntax analysis techniques used in NLP, such as lemmatization, morphological segmentation, tokenization, part-of-speech tagging, etc.
Slide 35: This slide depicts the semantic analysis techniques used in NLP, such as named entity recognition (NER), word sense disambiguation, and natural language generation.
Slide 36: This slide represents the top natural language processing tools, such as NTLK, IBM Watson, Google Cloud, and Aylien that can help start NLP.
Slide 37: This slide exhibit table of content- Challenges and Computer Difficulty of NLP
Slide 38: This slide describes the challenges of natural language processing such as precision, tone of voice and inflection, and evolving use of language.
Slide 39: This slide represents the reasons why do computers have difficulty with natural language processing, such as unstructured data, grammar syntax, etc.
Slide 40: This slide exhibit table of content- NLP with Other Technologies
Slide 41: This slide represents the role of NLP in log analysis & log mining.
Slide 42: This slide represents the difference between natural language processing and text mining based on factors.
Slide 43: This slide represents the classical NLP and deep learning-based NLP and how operations are carried out in both approaches, such as symbolic and statical approaches.
Slide 44: This slide exhibit table of content- Implementation and Use Cases of NLP
Slide 45: This slide depicts the natural language processing best practices in python.
Slide 46: This slide represents the project implementation plan for Natural Language Processing.
Slide 47: This slide depicts natural language processing use cases.
Slide 48: This slide depicts the use cases of NLP, including the Google translator, voice recognition assistants.
Slide 49: This slide depicts the training program for employees.
Slide 50: This slide represents the budget to implement NLP in the company by elaborating spending on marketing, hiring of experts, employees training, and equipment update.
Slide 51: This slide depicts the detailed budget report to implement natural language processing in the company by showing the US dollars from January to September.
Slide 52: This slide shows how natural language processing is used in today’s world in voice command services.
Slide 53: This slide exhibit table of content- Applications of NLP
Slide 54: This slide represents the natural language processing applications in different sectors such as business, text mining, deep learning, healthcare, and web mining.
Slide 55: This slide represents the sentiment analysis in NLP business applications and how online generated data is interpreted by NLP to generate useful insights.
Slide 56: This slide represents the business application of NLP in customer service by automating customer support tasks and automatically analyzing customer feedback.
Slide 57: This slide represents the business application of NLP in chatbots to perform the tasks.
Slide 58: This slide represents the business application of NLP to manage advertisement channels and shows the total spending by marketers in AI to target consumers, etc.
Slide 59: This slide represents the NLP application in the healthcare industry, showing how it can help improve clinical documentation, support clinical decisions, etc.
Slide 60: This slide depicts the NLP applications in web mining, including automation summarization, names entity recognition.
Slide 61: This slide represents the deep learning applications of NLP, including machine translation, language modeling, caption generation, and question answering.
Slide 62: This slide shows the applications of deep learning algorithms.
Slide 63: This slide depicts the NLP application in text mining.
Slide 64: This slide exhibit table of content- Impact of Natural Language Processing Implementation
Slide 65: This slide represents the impacts of natural language processing implementation.
Slide 66: This slide exhibit table of content- 30-60-90 Days Plan for Implementing NLP in Company.
Slide 67: This slide represents the 30-60-90 days plan to implement natural language processing in the company.
Slide 68: This slide exhibit table of content- Roadmap to Implement NLP in Company.
Slide 69: This slide depicts the roadmap to implement natural language processing in the company by showing the operations performed after implementation.
Slide 70: This is the icons slide.
Slide 71: This slide presents title for additional slides.
Slide 72: This slide depicts the disadvantages of natural language processing.
Slide 73: This slide exhibit Timeline.
Slide 74: This slide presents your company's vision, mission and goals.
Slide 75: This slide exhibits yearly profits stacked line charts for different products.
Slide 76: This slide display Our target.
Slide 77: This slide depicts posts for past experiences of clients.
Slide 78: This is thank you slide & contains contact details of company like office address, phone no., etc.