Text Analytics Powerpoint Presentation Slides

Slide 1: This slide introduces Text Analytics. State your company name and begin.
Slide 2: This is an Agenda slide. State your agendas here.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This slide continues showing Table of Content for the presentation.
Slide 5: This slide gives an overview of the text analytics process used to generate meaningful information from unstructured text documents.
Slide 6: This slide outlines the role of text analysis for businesses in performing sentiment analysis, managing records, and personalizing customer experience.
Slide 7: This slide presents factors contributing to the necessity of text analytics, such as unstructured data, business insights, decision-making, automation, etc.
Slide 8: This slide showcases the business benefits of text analytics procedure, such as customer insights, decision-making, cost savings, competitive advantage, and risk management.
Slide 9: This slide continues showing Table of Content for the presentation.
Slide 10: This slide gives an overview of the text analytics components segment and regional analysis for North America, Europe, Asia Pacific, Middle East & Africa, etc.
Slide 11: This slide outlines the future advancements and trends in the text analytics field, such as multilingual NLP, contextual brand mentions tracking, etc.
Slide 12: This slide continues showing Table of Content for the presentation.
Slide 13: This slide highlights the importance of text analytics in forming NLP features such as identification, subject matter, opinions and statements, and emotional tone.
Slide 14: This slide outlines the integrated architecture of big data, text analytics, and predictive analytics, including elements deployment, modeling, statistics, etc.
Slide 15: This slide compares the text mining, text analytics and natural language processing based on definition, focus, and some examples.
Slide 16: This slide continues showing Table of Content for the presentation.
Slide 17: This slide outlines several methods for text analytics and other multimedia data integration, such as images, audio, or video through data fusion, augmentation, etc.
Slide 18: This slide continues showing Table of Content for the presentation.
Slide 19: This slide gives an overview of text analysis, a method for deriving business insights from human-written text through computer systems and software.
Slide 20: This slide outlines various text analysis techniques, such as text classification, text extraction, topic modeling, and Personal Identifiable Information redaction.
Slide 21: This slide showcases the first stage of text analysis, which involves collecting information from various sources, such as internal and external data.
Slide 22: This slide gives an overview of the data preparation techniques, such as tokenization, part-of-speech tagging, parsing, lemmatization, and stop-word removal.
Slide 23: This slide outlines the third stage of text analysis, which is text analysis. The methods used in this stage are text classification and text extraction.
Slide 24: This slide displays the fourth stage of text analysis, visualization, which is used to clearly represent the text analysis results through charts, graphs, etc.
Slide 25: This slide represents the difference between text analytics and text analysis based on focus, methods used for text processing, purpose, and output.
Slide 26: This slide continues showing Table of Content for the presentation.
Slide 27: This slide represents the process flow of text analytics, including text identification, mining, categorization, clustering, search access, entity/relation modeling, etc.
Slide 28: This slide showcases the working process of text analytics, which includes language identification, tokenization, sentence breaking, part-of-speech tagging, etc.
Slide 29: This slide presents the various steps involved in text analytics, such as language identification, tokenization, sentence breaking, and part-of-speech tagging.
Slide 30: This slide outlines the various steps involved in text analytics, such as chunking or light parsing, syntax parsing, and sentence chaining.
Slide 31: This slide continues showing Table of Content for the presentation.
Slide 32: This slide outlines the various techniques used in text analytics, such as sentiment analysis, topic modeling, named entity recognition, term frequency, etc.
Slide 33: This slide displays the use cases of text analytics techniques, such as sentiment analysis, topic modeling, named entity recognition, event extraction, etc.
Slide 34: This slide outlines the top text analytics software, including Codeit, Canvs, Forsta, Chattermill, and InMoment. It also includes the functions and cost of the tools.
Slide 35: This slide continues showing Table of Content for the presentation.
Slide 36: This slide outlines the challenges and solutions associated with text analytics, such as noisy, incomplete, inconsistent, complex data, data integration, etc.
Slide 37: This slide continues showing Table of Content for the presentation.
Slide 38: This slide describes the guidelines for integrating text analytics with existing systems, covering defining goals and scope, preprocessing the text, and so on.
Slide 39: This slide outlines the checklist for successful text analytics integration, including tasks, the person responsible, and task completion status.
Slide 40: This slide continues showing Table of Content for the presentation.
Slide 41: This slide showcases the text analytics training program for IT personnel in an organization, and it includes the time, modules to be covered, and so on.
Slide 42: This slide presents the training cost distribution, including various components of the training budget, such as instructor's cost, training material cost, and so on.
Slide 43: This slide outlines the budget allocation for integrating text analytics in an organization, covering expense categories, estimated and actual budget.
Slide 44: This slide continues showing Table of Content for the presentation.
Slide 45: This slide showcases the 30-60-90-day plan for integrating text analytics in an organization, including the steps to be performed at each interval of 30 days.
Slide 46: This slide outlines the timeline for integrating text analytics into business, covering project kickoff and planning, infrastructure setup, skill assessment and training, etc.
Slide 47: This slide showcases the roadmap for text analytics technology integration into an organization, including assessment and planning, skills development and training, etc.
Slide 48: This slide showcases the text analytics dashboard for customer sentiment analysis, which includes components such as total comments and vocabulary density.
Slide 49: This slide continues showing Table of Content for the presentation.
Slide 50: This slide represents the real-world applications of text analytics, such as social media listening, sales & marketing, brand monitoring, and customer service.
Slide 51: This slide describes the real-world applications of text analytics, such as business intelligence, product analytics, knowledge management, and email filtering.
Slide 52: This slide describes the different use cases of text analytics for marketing teams such as identifying novel brand and targeting methods, early customer trends detection etc.
Slide 53: This slide outlines the case study on using text analytics tools in an international finance firm, including their problem, solution, and impact.
Slide 54: This slide shows all the icons included in the presentation.
Slide 55: This slide is titled as Additional Slides for moving forward.
Slide 56: This slide shows Post It Notes for reminders and deadlines. Post your important notes here.
Slide 57: This is a Timeline slide. Show data related to time intervals here.
Slide 58: This slide presents Roadmap with additional textboxes. It can be used to present different series of events.
Slide 59: This slide shows SWOT analysis describing- Strength, Weakness, Opportunity, and Threat.
Slide 60: This is Our Vision, Mission & Goal slide. Post your Visions, Missions, and Goals here.
Slide 61: This is an Idea Generation slide to state a new idea or highlight information, specifications etc.
Slide 62: This slide contains Puzzle with related icons and text.
Slide 63: This is a Thank You slide with address, contact numbers and email address.