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Sweephy vs Semanticscholar

Sweephy or Semanticscholar? A Comprehensive Review

Sweephy

Sweephy

Manages data and provides machine learning solutions.

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Semanticscholar

Semanticscholar

Analyzed scientific research paper discovery.

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Overview

Description

Sweephy is an all-in-one data management platform that offers no-code data cleaning, preparation, and machine learning services for businesses. It specializes in tailoring its services to

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Introducing Semantic Scholar - a cutting-edge AI-powered research platform for scholars to explore scientific literature. It aggregates over 211 million papers from various fields of

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Pricing Options

  • No free trial
  • $20, month
  • No free trial
  • Not Available
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Features

Total Features

Features
Features

Unique Features

No features

No features

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Pricing

Pricing Option

      Starting From

      • $20, month
      • Not Available
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      View Detailed Pricing

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available
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      User Reviews

      User Ratings

      No Reviews

      3.5/5

      Pros

      • No-code data cleaning

      • No-code ML deployment

      • Specialized development for business

      • On-premise setup for privacy

      • Listed on HubSpot

      • Provides new user discount

      • ML for text classification

      • Lookalike checks feature

      • Data profiling module

      • Question to Excel feature

      • Aggregates scientific literature

      • Covers various science fields

      • Archives over 211 million papers

      • Includes Semantic Reader for augmented reading

      • Improved API for developers

      • Better documentation

      • Increased stability

      • Promotes decreased carbon footprint

      • Encourages increased inclusivity

      • Offers new feature and release updates

      Cons

      • No Salesforce integration

      • Expensive support services

      • Requires external data integration

      • No code interface limits customizability

      • Upcoming modules uncertain

      • Specific tool request turn-around unclear

      • Lacks broad third-party software integration

      • Hard for tech-savvy users

      • On-premises setup complexity

      • Limited to scientific literature

      • No offline access

      • No language translation options

      • Requires sign up for alerts

      • Specific API requirements

      • Beta features might be unstable

      • Not suitable for non-academic use

      • Might not cover all fields

      • No mobile application

      Media and Screenshots

      Screenshots

      Sweephy
      Semanticscholar

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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