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Compare Google Cloud Natural Language API and Stanford CoreNLP 
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At a Glance
Market Segments
Small-Business (54.6% of reviews)
Small-Business (60.0% of reviews)
Entry-Level Pricing
Free Per Month
No pricing available
Google Cloud Natural Language API
Star Rating
(97)4.3 out of 5
Market Segments
Small-Business (54.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Browse all 2 pricing plansStanford CoreNLP
Star Rating
(10)4.3 out of 5
Market Segments
Small-Business (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Stanford CoreNLPSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Natural Language API excels in sentiment analysis with a score of 9.0, while Stanford CoreNLP received a lower score of 8.8, indicating that Google’s API may provide more nuanced insights into user sentiment.
- Reviewers mention that Google Cloud Natural Language API offers superior named entity recognition capabilities, scoring 9.1 compared to Stanford CoreNLP's 8.7, suggesting that Google’s solution is more effective in identifying and categorizing entities within text.
- G2 users highlight the ease of integration with Google Cloud Natural Language API, scoring 8.5, which is on par with Stanford CoreNLP, but users on G2 note that Google’s API has a more user-friendly setup process, making it more accessible for small businesses.
- Users say that Google Cloud Natural Language API provides better quality of support, with a score of 8.6, compared to Stanford CoreNLP's 6.7, indicating that users may find more reliable assistance when using Google’s product.
- Reviewers mention that Google Cloud Natural Language API shines in automation features, scoring 8.9, which allows for more streamlined processes, while Stanford CoreNLP's automation capabilities are perceived as less robust.
- Users report that Google Cloud Natural Language API has a more favorable product direction with a score of 9.2, suggesting that it is more aligned with future developments and user needs compared to Stanford CoreNLP's score of 5.3.
Pricing
Entry-Level Pricing
Google Cloud Natural Language API
Free
Free
Per Month
- All customers get 5,000 units for analyzing unstructured text free per month, not charged against your credits.
- New customers get $300 in free credits to spend on Natural Language.
Stanford CoreNLP
No pricing availableFree Trial
Google Cloud Natural Language API
Free Trial is available
Stanford CoreNLP
No trial information availableRatings
Meets Requirements
8.7
88
9.2
10
Ease of Use
8.8
90
8.3
10
Ease of Setup
8.5
32
8.5
10
Ease of Admin
8.8
23
8.1
6
Quality of Support
8.7
84
6.7
6
Has the product been a good partner in doing business?
8.3
24
Not enough data
Product Direction (% positive)
9.3
89
5.3
10
Features by Category
Algorithm
8.6
45
Not enough data
8.6
47
Not enough data
8.7
46
Not enough data
9.0
47
Not enough data
8.2
47
Not enough data
8.8
47
Not enough data
System
8.6
46
Not enough data
8.8
48
Not enough data
8.0
45
Not enough data
8.5
46
Not enough data
7.7
44
Not enough data
Setup
8.5
59
Not enough data
8.1
55
Not enough data
8.4
55
Not enough data
Data
8.8
55
Not enough data
8.5
54
Not enough data
Analysis
8.9
52
Not enough data
9.1
52
Not enough data
9.0
51
Not enough data
9.0
49
Not enough data
8.8
52
Not enough data
8.9
52
Not enough data
8.8
46
Not enough data
Customization
8.3
48
Not enough data
8.7
46
Not enough data
8.8
47
Not enough data
Generative AI
8.6
43
Not enough data
8.9
41
Not enough data
Categories
Categories
Shared Categories
Google Cloud Natural Language API and Stanford CoreNLP are categorized as Natural Language Understanding (NLU)
Unique Categories
Google Cloud Natural Language API is categorized as Text Analysis
Stanford CoreNLP has no unique categories
Reviews
Reviewers' Company Size
Google Cloud Natural Language API
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Stanford CoreNLP
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
20.6%
Information Technology and Services
19.6%
Education Management
6.2%
Telecommunications
4.1%
Retail
4.1%
Other
45.4%
Retail
10.0%
Research
10.0%
Public Policy
10.0%
Online Media
10.0%
Management Consulting
10.0%
Other
50.0%
Alternatives
Discussions
Google Cloud Natural Language API has no discussions with answers
Stanford CoreNLP has no discussions with answers
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