Blog | Putting the Taxonomist in the Driver’s Seat
In this post Sarah Downs explores our software and its ability to bootstrap enterprise taxonomies for autocategorization.

When it comes to autocategorization, Graphite Knowledge Studio puts the taxonomist in the driving seat, allowing quick annotation of enterprise content with the concepts within your taxonomies or ontologies.

#Taxonomy
#Categorization
#TextAnalytics

Read the blog https://lnkd.in/eW7wtAH8

Geisteswissenschaften und Betriebswirtschaftslehre sind vielleicht ähnlicher als viele denken: Florian Stahl präsentiert zu #textanalytics direkt nach Text+ bei der gemeinsamen Konferenz zur Textanalyse https://events.gwdg.de/event/435 #BERD@NFDI
#NFDIRocks

Weiter geht es mit #textanalytics: Erhard Hinrichs stellt die Möglichkeiten vor mit Hilfe von Daten in Text+ empirisch zu arbeiten. Und das bei ortsverteilter Datenhaltung #NFDIRocks mi BERD@NFDI

Annotatoren, die unterschiedliche Lable verwenden, als Chance für neue Erkenntnisse. Barbara Plank zum Thema "How and Why to Deal with Human Label Variation in NLP" auf der Joint Conference on Research on Text Analytics #textanalytics

Google Cloud's BigQuery now offers access to Vertex AI's generative text-bison model via SQL. The model can be used for tasks such as sentiment analysis, classification, and entity extraction, and can be applied to text data stored in BigQuery tables. The feature is still in preview and requires enrolment, and it is not yet clear whether fine-tuned models will be... https://medium.com/google-cloud/bigquery-breaking-news-generative-ai-8c6d14bd4568 #BigQuery #VertexAI #TextAnalytics #softcorpremium

Google Cloud's BigQuery now offers access to Vertex AI's generative text-bison model via SQL. The model can be used for tasks such as sentiment analysis, classification, and entity extraction, and can be applied to text data stored in BigQuery tables. The feature is still in preview and requires enrolment, and it is not yet clear whether fine-tuned models will be... https://medium.com/google-cloud/bigquery-breaking-news-generative-ai-8c6d14bd4568 #BigQuery #VertexAI #TextAnalytics #softcorpremium

Google Cloud's BigQuery now offers access to Vertex AI's generative text-bison model via SQL. The model can be used for tasks such as sentiment analysis, classification, and entity extraction, and can be applied to text data stored in BigQuery tables. The feature is still in preview and requires enrolment, and it is not yet clear whether fine-tuned models will be... https://medium.com/google-cloud/bigquery-breaking-news-generative-ai-8c6d14bd4568 #BigQuery #VertexAI #TextAnalytics #softcorpremium

Finally there😍 In "#Populists’ Use of Nostalgia: A #SupervisedMachineLearning Approach" Lena Clever, Tim Wulf
Tim_Wildschut, Constantin Sedikides & I first developed a 🇩🇪c lassifier to detect #nostalgia appeals using a psychologically-grounded approach for the training data (#textanalytics). We then applied this classifier to the FB-posts of all big 🇩🇪 parties in 2019

The latest beta release of the Azure Text Analytics client libraries for Python (and other SDK's) has been announced. The blog post includes Python samples for these features:
- Abstractive summarization
- Named entity recognition (NER) resolutions
- Dynamic classification
- Healthcare FHIR bundles with document type
- Automatic language and script detection

#Azure #Python #AzureSDK #AI #TextAnalytics

Reference: https://devblogs.microsoft.com/azure-sdk/announcing-the-new-beta-release-of-azure-text-analytics-libraries/

Text Preprocessing List:

1. remove HTML tags
2. Text tokenisation
3. removing accented characters
4. Removing special characters
5. Case conventions
6. Stemming
7. Lemmatisation
8. Stop word removal

#TextAnalytics

Been like three weeks since the module of Social Media and Marketing Analytics course began and I must say, it's quite intriguing.

#TextAnalytics #SocialNetworkAnalytics #SentimentAnalytics