Users report that openNLP excels in its ease of use, with a G2 rating of 8.3, which matches the ease of use rating of Stanford CoreNLP, but reviewers mention that openNLP's user-friendly interface makes it more accessible for small businesses.
Reviewers mention that Stanford CoreNLP has a slight edge in Named Entity Recognition, with a G2 rating of 9.2 compared to openNLP's 8.3, highlighting its superior accuracy in identifying entities in text.
G2 users report that openNLP's quality of support is rated at 7.0, which is higher than Stanford CoreNLP's 6.7, indicating that users find openNLP more responsive and helpful when issues arise.
Users on G2 mention that Stanford CoreNLP offers better sentiment analysis capabilities, with reviewers noting its advanced algorithms that provide more nuanced insights compared to openNLP.
Reviewers say that openNLP shines in its customizable models, allowing users to tailor the software to their specific needs, while Stanford CoreNLP is noted for its robust pre-built algorithms that save time for users who prefer out-of-the-box solutions.
Users report that both products have similar ease of setup ratings, but Stanford CoreNLP's 8.5 rating suggests it may be slightly easier to implement for users who are less technically inclined.
Pricing
Entry-Level Pricing
Stanford CoreNLP
No pricing available
openNLP
No pricing available
Free Trial
Stanford CoreNLP
No trial information available
openNLP
No trial information available
Ratings
Meets Requirements
9.2
10
8.3
9
Ease of Use
8.3
10
8.3
9
Ease of Setup
8.5
10
Not enough data
Ease of Admin
8.1
6
Not enough data
Quality of Support
6.7
6
7.0
9
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