HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
Suggested Answer:
Box 1: Yes - Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review. The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No - Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes - Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization. Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. Reference: https://azure.microsoft.com/es-es/blog/machine-assisted-text-classification-on-content-moderator-public-preview/ https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
Should be N/N/N
Last one is Text Analytics with sentiment analysis
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Anyone confirm?
The first is Yes. Natural language processing involves the use of computational techniques to understand and analyze human language. In this case, the task involves processing and analyzing the text of online service reviews to identify and flag profanities or offensive language.
NLP techniques can be applied to perform sentiment analysis, text classification, and language understanding tasks, which are relevant for monitoring and analyzing the content of online reviews. By leveraging NLP, businesses can automate the process of filtering and moderating user-generated content, ensuring a positive and respectful online environment.
Therefore, monitoring online service reviews for profanities is an application of natural language processing.
I think you are wrong! You need Text moderation "Scans text for offensive content, sexually explicit or suggestive content, profanity, and personal data." https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/overview
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
ExamTopics007
Highly Voted 4 years, 3 months agoshoutiv
Highly Voted 3 years, 4 months agordemontis
Most Recent 1 year, 9 months agoCarlous
3 years, 8 months agokam1122
3 months agoandre999
3 years, 4 months agoYongHuat
3 years, 7 months agoTas006
3 years, 9 months agordemontis
1 year, 9 months agoticbab
3 years, 10 months agowarchoon
10 months, 1 week agoEdwardenis
3 years, 10 months agoTheB
3 years, 11 months agoPranav_K
4 years, 2 months ago