🔧

Scala Named Entity Extraction Tool

Best for: Research Scientist, Data Analyst, Natural Language Engineer, Machine Learning Engineer, Information Extraction Specialist.

This prompt aims to create a tool in Scala that can extract named entities from a given set of research papers. Named entities are specific types of phrases within the text that can be classified into various categories, such as persons, locations, organizations, etc. The tool developed using this prompt will analyze the provided research papers and identify these named entities, making it easier for researchers and data analysts to extract relevant information from vast amounts of text data.

Prompts

Copy a prompt, replace placeholders with relevant text, and paste it at Prompt Snack Chat in the right, bottom corner for an efficient and streamlined experience.

Prompt #1

Prompt

Copy
Locked content access

Upgrade to a Premium account to access unlimited high-quality prompts, totaling over 50,000 and receive daily updates of new prompts.

$15 $7/Monthly
$180 $70/Yearly

Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Prompt Snack Chat.

Because the prompt has been carefully designed and thoroughly tested, all you need to do is replace the keywords with your business products, services, and topics in your industry, and you'll get good results.


To optimize the quality of the best results, we encourage you to use GPT-4 or experiment with prompts on other AI platforms to compare the best results: ChatGPT, Gemini, Claude, Copilot.


If you want the results in your language, please add the following to the end of the prompt. “Please write with [your language].