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Abstracts reviewed with GPT-4 using large-scale AI models
Submit your abstract and receive a comprehensive NLP-powered analysis
including grammatical accuracy, recommended research titles, suggested journals, and more!
Powered by GPT-4 and experts from Journal Lab's deep learning research team.
- Grammar accuracy
- Suggested research titles
- Keyword recommendations
- 400-character summary
- Recommended journals for submission
- Related resources
Grammar accuracy
You can check the total number of grammatical errors found in the submitted abstract, and intuitively determine the grammatical accuracy score as perfect, average, low, and review required. The grammar accuracy is checked with Python, and it runs on Journal Lab’s own server so that you can use it with confidence and absolutely no security issues.
Suggested research titles
Based on the analyzed abstract, we suggest five research titles that will grab the reader’s attention. Gain insights into how you can stand out from among similar titles.
Keyword recommendations
We use an AI model specialized in keyword extraction to extract the keywords in papers. Use these keywords to drive traffic to your research paper from search results.
400-character summary
We create an AI-based summary that can help you make your abstract more concise and impactful. It can be used to effectively shorten your paper for publication in journals with word count limits.
Recommended journals for submission
Utilizes the embedding model to measure similarity and then extracts a list of recommended journals. Plan your journal submission goals, or discover new journals you didn't know about.
Related resources
Extract results for highly relevant resources, mainly from published papers, based on the content of your abstract, considering keywords, fields, and research directions. Save time innovatively in otherwise time-consuming reference searches.
Grammar accuracy
You can check the total number of grammatical errors found in the submitted abstract, and intuitively determine the grammatical accuracy score as perfect, average, low, and review required. The grammar accuracy is checked with Python, and it runs on Journal Lab’s own server so that you can use it with confidence and absolutely no security issues.
Suggested research titles
Based on the analyzed abstract, we suggest five research titles that will grab the reader’s attention. Gain insights into how you can stand out from among similar titles.
Keyword recommendations
We use an AI model specialized in keyword extraction to extract the keywords in papers. Use these keywords to drive traffic to your research paper from search results.
400-character summary
We create an AI-based summary that can help you make your abstract more concise and impactful. It can be used to effectively shorten your paper for publication in journals with word count limits.
Recommended journals for submission
Utilizes the embedding model to measure similarity and then extracts a list of recommended journals. Plan your journal submission goals, or discover new journals you didn't know about.
Related resources
Extract results for highly relevant resources, mainly from published papers, based on the content of your abstract, considering keywords, fields, and research directions. Save time innovatively in otherwise time-consuming reference searches.
Analysis result reports that you can access whenever you need them.
Save your helpful analysis results one by one.
No need to dig through folders or search for file names as you access your abstract analysis reports instantly.
