My Research project: By Kayden Barnard Gr 9 is about Natural language processing (NLP) a branch of artificial intelligence it makes humans possible to talk to machines very cool and about the AI, artificial intelligence that enables computers to comprehen

[Audio] My Research project: By Kayden Barnard Gr 9 is about Natural language processing (NLP) a branch of artificial intelligence it makes humans possible to talk to machines very cool and about the AI, artificial intelligence that enables computers to comprehend, generate, and manipulate human language. Like a computer is learning. In this you will see it's a video, PowerPoint explaining my research, my report on my findings and some cool slides of photos a 4 in one Research report..

[image] Artificial Intelligence What It Is and How It Is Used.

[Audio] How Natural Language Processing and Artificial Intelligence are used together it enables machines to understand the human language. Here is some pictures to look at..

[Audio] Explore at least 3 different components of NLP I could only find it's divided into two components. Natural Language Understanding (NLU) helps the machine to understand and analyze human language by extracting the text from large data such as keywords, emotions, relations, and semantics. See below why I say two..

[Audio] What is sentiment analysis in NLP? Okay Sentiment analysis is an application of natural language processing (NLP) technologies that train computer software to understand text in ways similar to humans. The analysis typically goes through several stages before providing the final result. Simple explanation by text (positive, negative, neutral) but it also goes beyond polarity to detect specific feelings and emotions (angry, happy, sad, etc), urgency (urgent, not urgent).

[Audio] Understanding NLP Named-entity recognition Named-entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages.

[Audio] Let's talk more about the different applications of the NLP Technology Question Answering focuses on building systems that automatically answer the questions asked by humans in a natural language. Spam detection is used to detect unwanted e-mails getting to a user's inbox. Sentiment Analysis is also known as opinion mining. Syntax and semantic analysis are two main techniques used with natural language processing. Syntax is the arrangement of words in a sentence to make grammatical sense. NLP uses syntax to assess meaning from a language based on grammatical rules..

[Audio] Investigate how NLP is used in analysing social media content We are a part of the Big data era. Consider social media users as an illustration. Globally, 3.4 billion people use social media activity daily. On YouTube alone, one billion hours of video are watched every day. Every sign points to increased data production over time, not decreased data production. As a result, there is too much information to review carefully. The use of data analysis tools, algorithms, and Natural Language Processing is widespread, even among large-budget institutions like national governments and multinational enterprises. These methods will help you comprehend current consumer sentiment toward your brand. Your selections will have a solid foundation if you can limit selection bias and stay away from anecdotes. In response to a world that is changing quickly, you will react more accurately..

[Audio] What are the benefits and limitations of these applications Benefits Easily identifies trends and patterns no human intervention needed, handling variety of data, improvements and wide applications. Limitations Data gets lost, more time on time and recourses, the wrong interpretation of results, high risk of data attacks..

[Audio] The ethical considerations which are related to NLP (privacy, bias, security) Regulation privacy of Bias Transparency, rights of robot, security system, legal liability accuracy in decision making, see below Picture.

[Audio] Explore the challenges of handling sensitive information and what risks could be associated with NLP technologies. NLP models may collect, process, and store sensitive data, such as personal information, financial data, and health records. The misuse of this data can lead to serious privacy see my below picture..

[Audio] Why is it important to have ethical guidelines when working with NLP To ensure that NLP is used responsibly, it is essential to design and train models on diverse and representative datasets, protect privacy, and ensure transparency. Additionally, NLP can be used to promote ethical communication and empathy, making a positive impact on society. NLP technology can be used to monitor and analyse large volumes of text data, which can raise concerns about privacy and surveillance. It is important to establish clear guidelines and regulations around the use of NLP technology in surveillance to ensure that it is used in a responsible and ethical manner.

[Audio] This Project is done by Kayden Derick Barnard grade 9. I Hope you have learned and enjoyed my presentation, video, pictures and research.