This guide is intended for anyone who has a text problem they want solved
I require an AI based news article to be generated based on raw data supplied to the engine. The data will be facts such as a person's performance and how his/her contribution contributed to the overall goal. I require an AI consultant to work with me to train the AI and also bring some expertise about various open source packages that can be used to deliver the required outcome.
I am not looking for a full scratch development - only smart usage of existing NLP libraries or pre-existing script I have list of 500,000 + company names , user generated . Many of them are in fact the same company just typed in so many different ways, formats, with or without extentions, local branch etc I am looking for a python script which would take as input 1 company name (user generated) and return the best matching unique company name, helping me reduce from 500,000 to maybe 50,000. I need to be able to tune the matching from 0 to 100 (for example 0 would never return any match and 100 would always give me a match but not so accurate)
Hi, I have some pdf contracts, which has already embedded. I need visualizations in streamlit or similar: Process is: 1. Upload new doc or text (PDF). 2. Document level (full doc) similarity visualisation including similarity metric slider adjustment. 2a. Show top 10 similar documents (In table or similar) 3. If document is not very similar to the existing show that with text, red flag or similar. Extra 4. On section level (i.e. headlines) in document 4a. Show visualization in some format that makes sense 4b. Show top 10 similar sections (in table or similar) 4c. Show top 10 NOT similar sections (in table or similar) 4d. If section is not very similar to the existing show that with text, red flag or similar. 5. Highlight sentences in the uploaded text/pdf/sections that are i.e. uncommo...