Amazon Lex

Amazon Lex is a conversational interface service for building chatbots and virtual assistants, capable of handling both speech and text interactions. Its core capabilities include:

  1. Natural Language Understanding (NLU): Interprets user inputs in text or voice, understanding the user's intent and extracting relevant information (such as entities) to drive real-time actions.
  2. Automatic Speech Recognition (ASR): Converts spoken language into text, enabling voice-based interactions with the bot by transcribing user speech in real time.

Lex

Differences from Other Services

  1. Amazon Polly: Focuses on converting text into speech to output information to users.
  2. Amazon Transcribe: Converts speech to text for later use, but Amazon Lex goes beyond transcription by using speech/text as input to build interactive conversations, recognize user intents, and drive real-time actions.

Key Features

  1. Text & Voice Interactions: Lex supports both text-based and voice-based interactions.
  2. Intent & Slot Management:
  3. Intents: Define the user's goal (e.g., "BookFlight").
  4. Slots: Capture specific parameters required to fulfill the intent (e.g., "departure city", "destination").
  5. Dialog Management: Lex handles conversation flow, asking follow-up questions to collect required information.
  6. Integration with AWS Lambda: Triggers Lambda functions to process user input or perform backend actions.
  7. Multi-Channel Integration: Can be embedded in web apps, mobile apps, and third-party platforms (e.g., Facebook Messenger, Slack).
  8. Pricing is based on text requests and voice requests. Voice-based interactions incur additional charges for speech recognition.

Use Cases:

  1. Customer Support: Automating responses to common queries.
  2. Virtual Assistants: Voice-activated assistants (e.g., booking appointments).
  3. IVR Systems: Replacing traditional phone systems with automated voice interactions.
  4. E-commerce: Providing product recommendations, order tracking.

Question - Translated & create written sentiment analysis reports

A company needs to create written sentiment analysis reports from customer service call recordings. The call recordings must first be translated into English. Which combination of AWS services should be used to meet these requirements? (Choose three

  1. Use Amazon Comprehend to translate the audio recordings into English
  2. Use Amazon Lex to create the written sentiment analysis reports
  3. Use Amazon Polly to convert the audio recordings into text
  4. Use Amazon Transcribe to convert the audio recordings in any language into text(Correct Answers)
  5. Use Amazon Translate to translate text in any language to English(Correct Answers)
  6. Use Amazon Comprehend to create the sentiment analysis reports(Correct Answers)
Explanation:
  1. 4. Amazon Transcribe converts audio recordings into text, regardless of the language.
  2. 5. Amazon Translate translates the text into English
  3. 6. Amazon Comprehend performs sentiment analysis on the translated text to generate sentiment analysis reports

Why not polly and Lex?

  1. Amazon Lex is primarily used for building conversational interfaces and is not suitable for generating sentiment analysis reports from text.
  2. Amazon Polly is a text-to-speech (TTS) service that converts text into speech (audio), not a service designed to analyze or interpret text.