Data saturation is universal. With the exponential increase in data collection, it is critical to refine and manage data more than ever to ensure its meaningful application. Our Editorial & Author Services help optimize content and data to meet your specific requirements by harnessing machine learning (ML) and artificial intelligence (AI).
Developmental Editorial Services
Development Editorial Service focuses on the structure and buildout of data to ensure a clear message flow. It helps analyze the manuscript as a whole in order to make necessary edits. For instance, removing too much material where it is not required and feeding in more, where necessary. It concentrates upon content, flow, writing style, and presentation. All this, while keeping in mind the target audience.
Molecular Connections’ Development Editorial Service provides turnkey content production and distribution solutions to help you connect with your target audience. We contribute towards creating a seamless experience for your users across channels by delivering polished manuscripts, coupled with perfect marketability.
MC Miner™
MC Miner™ is a state-of-the-art text mining engine developed by the data scientists of Molecular Connections. The platform allows mining information from a range of unstructured data sources to create structured outputs which can be used to develop custom knowledgebases.
Key Features :
- Can be also used as an indexing engine for developing an ontology
- APIs for interacting with external systems
- Supports concurrent access
- Inbuilt load balancer to manage concurrent access
- Custom MC Miner™ methods / algorithms
- Entity Extraction
- Topic Modelling
- Sentiment analysis
- Text Classification & Summarization
Application areas:
- Biology (Gene, Proteins, Species, Disease, Processes), Chemistry, Physics, Economics, Production Engineering
MC Parse A parsing engine whose key features are:
Non-XML parse:
- Various PDF Structures (Dual column, Special Header elements)
- Patent Offices/Full text Journals
- Inconsistent Section Markers
- Tables spanning across columns
XML Parse
XML parse consists of a library of parse based on xml formats of all major publishers, ncbi based formats like JATS, NLM Xml, PubMed, SciELO XML , etc. It can be customized for any new format in a very short span of time.
Areas of Application:
- Research Articles
- Patents
- Reports
- Manuscripts
MCAPS™
MCAPS™ (Molecular Connections Curation and Annotation Professional System) is a proprietary workflow system evolved through our expertise in life science curation.
Key features:
- Simplifies managing and exchanging heterogeneous data
- Facilitates guideline development & management for various curation and annotation projects
- Standard way to communicate data across projects and solves the data integration problem
- Makes report development easier
- Monitor project development in real-time
Application areas:
- Management of indexing and text mining workflows
- Data querying, analytics, and visualization
- Product development and rapid prototyping
Case Study
Deep Indexing of Chemistry Content
Interested in Editorial Services?
More Services
Digital Transformation
Software Development and Consulting Services
MC SAT
MC IDENTIFY
MC INSIGHTS
MC Review Recommender
Our Work: Select Case Studies
Deep Indexing of Chemistry Content
Discovering the right journal with Molecular Connections’ Journal Recommendation Service
An efficient keyword recommendation Service for a leading society publisher
ML Based Topic Alerts For Society Members
Empower your content with smart data
Improving Content Discovery
Let's Connect
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