From c8b7099c92ce3bab2a38900f6ef272c323d2b9a8 Mon Sep 17 00:00:00 2001 From: Subina Date: Wed, 3 Jul 2024 13:45:04 +0545 Subject: [PATCH] Update Assisted Tagging description --- .../AssistedTagging/index.tsx | 18 ++++-------------- 1 file changed, 4 insertions(+), 14 deletions(-) diff --git a/app/views/AnalyticalFramework/AssistedTagging/index.tsx b/app/views/AnalyticalFramework/AssistedTagging/index.tsx index 715d1d53a2..deaa6ac128 100644 --- a/app/views/AnalyticalFramework/AssistedTagging/index.tsx +++ b/app/views/AnalyticalFramework/AssistedTagging/index.tsx @@ -35,8 +35,8 @@ import { import { AssistedPredictionTagsQuery, } from '#generated/types'; -import generateString from '#utils/string'; import ProgressLine from '#components/ProgressLine'; +import generateString from '#utils/string'; import { getMatrix2dPossibleMappings, @@ -304,26 +304,16 @@ function AssistedTagging(props: Props) { heading={errored ? 'Assisted Tagging (errored)' : 'Assisted Tagging'} headingSize="small" description={generateString( - 'Through the infinite wisdom of the kraken, DEEP can provide you recommendations for your project’s tagging. Currently this is limited to common humanitarian frameworks, although in the future we envision this being available to all frameworks on the platform. Once you enable this feature and align your framework, you will see the option to use assisted tagging in the tagging page. To learn more about the feature, you can watch an {overview} and a {technicalExplanation}. The more you use this feature, and the more you use DEEP, the smarter we all become.', + 'The NLP feature in the DEEP Platform automatically extracts and categorizes information more accurately when paired with the standard DEEP NLP framework. With the matching feature, you can determine how closely your custom framework aligns with the standard one. This comparison is done using a string-matching method. At present, the best results are achieved with English content. If there are any incorrect matches or items that don\'t match, they can be manually adjusted to improve the classification accuracy, ensuring better utilization of the automatic extraction and classification features. See {descriptiveVideo} for further explanation', { - overview: ( + descriptiveVideo: ( - overview here - - ), - technicalExplanation: ( - - technical explanation here + this video ), },