Compare NLTK and Stanford CoreNLP 
At a Glance
Market Segments
Small-Business (52.2% of reviews)
Small-Business (60.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
NLTK
Star Rating
(48)4.4 out of 5
Market Segments
Small-Business (52.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about NLTKStanford CoreNLP
Star Rating
(10)4.3 out of 5
Market Segments
Small-Business (60.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Stanford CoreNLPSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Stanford CoreNLP excels in Named Entity Recognition, with a score of 7.3, making it a preferred choice for tasks requiring precise identification of entities in text. In contrast, NLTK, while versatile, does not match this level of performance in this specific area.
- Reviewers mention that NLTK offers a more user-friendly experience, reflected in its higher Ease of Use score of 8.8 compared to Stanford CoreNLP's 8.3. This makes NLTK a better option for beginners or those looking for a straightforward implementation.
- G2 users highlight that Stanford CoreNLP's support quality is lacking, with a score of 6.7, which can be a significant drawback for teams needing reliable assistance. Conversely, NLTK has a higher support quality score of 8.2, indicating a more robust support system for users.
- Users on G2 report that Stanford CoreNLP's data ingestion and wrangling capabilities score 7.6, which is decent but not exceptional. NLTK, however, shines in this area with a score of 8.0, making it more suitable for users who prioritize data handling features.
- Reviewers mention that while both products offer customizable models, Stanford CoreNLP scores 7.5, which is competitive, but NLTK's flexibility and ease of customization are often praised, making it a more adaptable choice for developers.
- Users say that Stanford CoreNLP's performance in sentiment analysis and emotion detection is rated at 7.3 and 6.5 respectively, which some users find limiting. In contrast, NLTK's broader range of pre-built algorithms and higher scores in these areas make it a more appealing option for comprehensive text analysis.
Pricing
Entry-Level Pricing
NLTK
No pricing availableStanford CoreNLP
No pricing availableFree Trial
NLTK
No trial information availableStanford CoreNLP
No trial information availableRatings
Meets Requirements
7.9
28
9.2
10
Ease of Use
8.8
28
8.3
10
Ease of Setup
9.0
10
8.5
10
Ease of Admin
8.8
10
8.1
6
Quality of Support
8.2
22
6.7
6
Has the product been a good partner in doing business?
9.1
9
Not enough data
Product Direction (% positive)
7.3
26
5.3
10
Features by Category
Algorithm
7.4
23
Not enough data
7.4
19
Not enough data
7.3
22
Not enough data
7.3
22
Not enough data
6.5
20
Not enough data
7.0
21
Not enough data
System
7.6
20
Not enough data
8.0
19
Not enough data
6.4
16
Not enough data
7.2
20
Not enough data
7.5
19
Not enough data
Categories
Categories
Shared Categories
NLTK and Stanford CoreNLP are categorized as Natural Language Understanding (NLU)
Unique Categories
NLTK has no unique categories
Stanford CoreNLP has no unique categories
Reviews
Reviewers' Company Size
NLTK
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
Information Technology and Services
28.3%
Computer Software
17.4%
Telecommunications
4.3%
Research
4.3%
Internet
4.3%
Other
41.3%
Retail
10.0%
Research
10.0%
Public Policy
10.0%
Online Media
10.0%
Management Consulting
10.0%
Other
50.0%
Most Helpful Reviews
NLTK
Most Helpful Favorable Review
Peng (Eric) Y.
Verified User in Internet
The structure of the content is quite clear.
Most Helpful Critical Review
Stanford CoreNLP
Most Helpful Favorable Review
Verified User in Civic & Social Organization
I've used the Stanford NLTK parse is various natural language processing projects. It works very well, documentation is good enough.
Most Helpful Critical Review
Saurabh J.
Verified User in Retail
The lack of good support of non-English languages
Peng (Eric) Y.
Verified User in Internet
The structure of the content is quite clear.
Verified User in Civic & Social Organization
I've used the Stanford NLTK parse is various natural language processing projects. It works very well, documentation is good enough.
Saurabh J.
Verified User in Retail
The lack of good support of non-English languages
Alternatives
Discussions
NLTK has no discussions with answers
Stanford CoreNLP has no discussions with answers
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