View source for 10.5.1 Basic tasks and applications

=== 10.5.1 Basic tasks and applications ===
Both NLP and Computer Vision are used in many ways every day. Here are some basic tasks and applications for each:

'''Natural Language Processing (NLP) Tasks & Applications:'''

# '''Text Translation:'''
#* '''Task:''' Converting text from one human language to another.
#* '''Application:''' Google Translate, which lets you translate websites, documents, or spoken words instantly.
# '''Sentiment Analysis:'''
#* '''Task:''' Figuring out the emotion or feeling behind a piece of text (e.g., is it positive, negative, or neutral?).
#* '''Application:''' Companies use this to understand customer reviews (are people happy or upset about a product?), or to analyze social media trends.
# '''Spam Detection:'''
#* '''Task:''' Identifying unwanted or malicious emails.
#* '''Application:''' Your email provider (like Gmail) uses NLP to filter out junk mail, protecting you from scams and clutter.
# '''Chatbots and Virtual Assistants:'''
#* '''Task:''' Understanding your questions and providing helpful answers in natural language.
#* '''Application:''' Customer service chatbots on websites, voice assistants like Siri or Alexa, which can set alarms, answer questions, or play music.
# '''Text Summarization:'''
#* '''Task:''' Taking a long piece of text and creating a shorter summary that captures the main ideas.
#* '''Application:''' News apps that give you quick summaries of articles, or tools that help students understand long documents faster.

'''Computer Vision (CV) Tasks & Applications:'''

# '''Object Recognition:'''
#* '''Task:''' Identifying what objects are present in an image or video (e.g., "This is a car," "That's a dog," "Here's a tree").
#* '''Application:''' Self-driving cars use this to "see" other vehicles, pedestrians, and traffic signs. Security cameras can use it to spot specific items.
# '''Facial Recognition:'''
#* '''Task:''' Identifying or verifying a person's identity based on their face.
#* '''Application:''' Unlocking your smartphone with your face, tagging friends in photos on social media, or security systems at airports.
# '''Image Classification:'''
#* '''Task:''' Assigning a label to an entire image (e.g., "This is a picture of a landscape," "This is a picture of food").
#* '''Application:''' Organizing your photo library automatically, or helping doctors classify medical images to find diseases.
# '''Optical Character Recognition (OCR):'''
#* '''Task:''' Converting text from images (like scanned documents or photos of signs) into editable digital text.
#* '''Application:''' Scanning old books to make them searchable, or apps that let you copy text from a photo.
# '''Augmented Reality (AR):'''
#* '''Task:''' Overlaying digital information onto the real world, often by understanding the environment.
#* '''Application:''' Games like Pokémon GO, or apps that let you "try on" furniture in your room before buying it.

NLP and Computer Vision are making computers much more interactive and intelligent, allowing them to understand the world around us in ways that were once only dreamed of.

'''Bibliography:'''

* '''IBM - What is Natural Language Processing (NLP)?''': https://www.ibm.com/cloud/learn/natural-language-processing
* '''IBM - What is Computer Vision?''': https://www.ibm.com/cloud/learn/computer-vision
* '''GeeksforGeeks - Applications of NLP''': https://www.geeksforgeeks.org/applications-of-nlp/
* '''GeeksforGeeks - Applications of Computer Vision''': https://www.geeksforgeeks.org/applications-of-computer-vision/