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IBM SPSS Text Analytics for Surveys (IBM Stafs)

SPSS Analytics Alternatives & Competitors

Looking for alternatives to IBM SPSS Text Analytics for Surveys (IBM Stafs)? Tons of people want Natural Language Processing (NLP) software. What's difficult is finding out whether or not the software you choose is right for you.

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Top 20 Alternatives & Competitors to IBM SPSS Text Analytics for Surveys (IBM Stafs)

    #1
    #1
  1. NVivo

    (80)4.0 out of 5
    NVivo is software that supports qualitative and mixed methods research. It's designed to help organize, analyze and find insights in unstructured, or qualitative data like: interviews, open-ended survey responses, articles, social media and web content.
  2. NVivo is software that supports qualitative and mixed methods research. It's designed to help organize, analyze and find insights in unstructured, or qualitative data like: interviews, open-ended survey responses, articles, social media and web content.

    NVivo review by Dylan H.
    "Great tool for phone interviews!: I like how easy it was to categorize my call transcripts. I also appreciate how I can go back and load previous categories on new transcript. This software goes the extra mile in offering a complex working environment while also eliminating the hassle of most complex software. I have used multiple transcription softwares before for text analysis and NLP; NVivo tops them all in creating value for your team."
    #2
    #2
  3. SnatchBot

    (40)4.6 out of 5
    SnatchBot is a bot builder platform designed to add multi-channel messaging to any system.
  4. SnatchBot is a bot builder platform designed to add multi-channel messaging to any system.

    SnatchBot review by chawtech S.
    "Perfect Tool for communication: The best thing about SnatchBot is the codeless design. It makes it easy for anyone to build a bot and have it up and running in minutes. The interface is simple and customizable too, which is a very cool feature. Extra features can be added easily with just a few clicks. Starting off with a pre-built bot template made things so much simpler than we imagined. Looking forward to building more bots!One of the coolest features of SnatchBot that I haven’t seen with any other bot-builders is the ability to switch channels in the middle of an interaction. So you could start talking to a bot on Facebook Messenger and then switch to SMS with the click of a button, and you won’t miss any or lose any of the conversation. It seems like SnatchBot thought of everything!"
    #3
    #3
  5. Google Cloud Translation API

    (30)3.7 out of 5
    Google Translate API is a tool that provides a programmatic interface for translating an arbitrary string into any supported language.
  6. Google Translate API is a tool that provides a programmatic interface for translating an arbitrary string into any supported language.

    Cloud Translation API review by Genessa W.
    "Faster Than Learning a New Language: This product translates texts on sites quickly and accurately. The technology also recognizes texts and languages if you don't know exactly what language is shown - which is especially helpful for some of the image-based languages. "
    #4
    #4
  7. Microsoft Bing Spell Check API

    (25)3.9 out of 5
    Microsoft Bing Spell Check API is a tool that help users correct spelling errors, recognize the difference among names, brand names, and slang, as well as understand homophones as they're typing.
  8. Microsoft Bing Spell Check API is a tool that help users correct spelling errors, recognize the difference among names, brand names, and slang, as well as understand homophones as they're typing.

    Microsoft Bing Spell Check API review by Janette G.
    "Spell check generator: I love this! I downloaded it and bookmarked it to my favorites. Every time l need a spell check I refer to this. It’s easy to click on, free, and downloaded onto your computer. Click on it when you need it! "
    #5
    #5
  9. FuzzyWuzzy

    (19)4.1 out of 5
    FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences
  10. FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences

    FuzzyWuzzy review by Shane W.
    "A "smarter" string comparison: This Python package takes string comparison to another level by providing a similarity score (called a "ratio" in the package) when comparing strings. Rather than spitting out the standard true/false output when comparing strings for similarity, FW provides a similarity score out of 100, making it easy to find *almost* matches. This is not possible using other string comparisons like regex, simple compare, and/or difflib. "
    #6
    #6
  11. Amazon Comprehend

    (17)4.0 out of 5
    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.
  12. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.

    Amazon Comprehend review by Nahomi G.
    "Great automatic learning tool for the future! : What I like most about this great tool is that it can be integrated with other great AWS software like amazon S3 and Glue, which facilitates the storage of our texts and documents for their previous analysis in Amazon Comprehend, besides this the prices are really accessible because it only charges for the amount of text analyzed, that is why Comprehend can be used by small and large companies."
    #7
    #7
  13. IBM Watson Tone Analyzer

    (15)4.3 out of 5
    IBM Watson Tone Analyzer is a service that uses linguistic analysis to detect three types of tones from text: emotion, social tendencies, and language style, emotions identified include things like anger, fear, joy, sadness, and disgust, identified social tendencies include things from the Big Five personality traits used by some psychologists includi openness, conscientiousness, extroversion, agreeableness, and emotional range and identified language styles include confident, analytical, and tentative.
  14. IBM Watson Tone Analyzer is a service that uses linguistic analysis to detect three types of tones from text: emotion, social tendencies, and language style, emotions identified include things like anger, fear, joy, sadness, and disgust, identified social tendencies include things from the Big Five personality traits used by some psychologists includi openness, conscientiousness, extroversion, agreeableness, and emotional range and identified language styles include confident, analytical, and tentative.

    IBM Watson Tone Analyzer review by Cleidy C.
    "How to improve your communication strategy with IBM Watson tone Analyzer: I like the theme of being able to decipher the emotionality of the customer in question, improving the way you communicate with customers is impressive, once you create your credentials you start with the plans that IBM can offer you, through its three plans, where you can not only read the messages and decipher them but you can also look for improvements in the calls you receive and see how feedback is given between the customer and customer service."
    #8
    #8
  15. openNLP

    (15)4.0 out of 5
    Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usually required to build more advanced text processing services and includes maximum entropy and perceptron based machine learning.
  16. Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usually required to build more advanced text processing services and includes maximum entropy and perceptron based machine learning.

    openNLP review by suresh s.
    "Open Source Natural Language Text: Apache OpenNLP is an open source Java library which is utilized procedure Natural Language content. OpenNLP gives administrations, for example, tokenization, sentence division, grammatical form labeling, named substance extraction, piecing, parsing, and co-reference goals, and so on. In this instructional exercise, we will see how to utilize the OpenNLP library to manufacture an effective content handling administration."
    #9
    #9
  17. Microsoft Language Understanding Intelligent Service (LUIS)

    (13)3.9 out of 5
    Microsoft Language Understanding Intelligent Service (LUIS) is a service that enable user to quickly deploy an HTTP endpoint that will take the sentences being send and interpret them in terms of the intention they convey and the key entities that are present, it has a web interface that can custom design a set of intentions and entities that are relevant to an application and guide ser through the process of building a language understanding system.
  18. Microsoft Language Understanding Intelligent Service (LUIS) is a service that enable user to quickly deploy an HTTP endpoint that will take the sentences being send and interpret them in terms of the intention they convey and the key entities that are present, it has a web interface that can custom design a set of intentions and entities that are relevant to an application and guide ser through the process of building a language understanding system.

    Microsoft Language Understanding Intelligent Service (LUIS) review by Mitchell A.
    "Not a bad option for your natural language processing project: I have personally only used Microsoft's Language Services for part of speech tagging, but its POS tagger has served me well for several years. I rarely have issues with it being inaccurate, and its response time is usually pretty quick. Additionally, it is an Azure service, so if you're currently an active Azure user, it is relatively easy to gain access to the Linguistic Analysis API. In addition to that, the documentation is great, so it's never difficult to find out how to use the API."
    #10
    #10
  19. spaCy

    (13)4.4 out of 5
    spaCy is a Python NLP library that helps user get their work out of papers and into production.
  20. spaCy is a Python NLP library that helps user get their work out of papers and into production.

    spaCy review by Alpesh S.
    "The best NLP library for Python: - The very first thing I would like to mention in the best things about spaCy, it's open source. - This library provides a huge collection of various categories of NLP algorithms which are industry ready which can be trusted and directly brought into picture. - spaCy supports over 28 languages and handles them very efficiently."
    #11
    #11
  21. Cadence EDA

    (13)4.1 out of 5
    Cadence offers tools and solutions for system design and verification.
  22. Cadence offers tools and solutions for system design and verification.

    Cadence EDA review by G2 User
    "Versatile tool for IC design and simulations: It's very well defined EDA tool which can be customised for a circuit designer's needs. It's probably the most popular EDA tool in the Analog, RFIC community and is very user friendly. It keeps up to date with the updates and New pdks. A good amount of programmability is built into the virtuoso tool which makes cadence EDA tools so versatile. "
    #12
    #12
  23. Google Cloud Natural Language

    (12)3.8 out of 5
    Google Cloud Natural Language API reveals the structure and meaning of text by offering machine learning models in an easy to use REST API, user can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts and to understand sentiment about product on social media or parse intent from customer conversations happening in a call center or a messaging app.
  24. Google Cloud Natural Language API reveals the structure and meaning of text by offering machine learning models in an easy to use REST API, user can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts and to understand sentiment about product on social media or parse intent from customer conversations happening in a call center or a messaging app.

    Cloud Natural Language review by User
    "Great NLP API: I really like the fact how it easy this platform makes the entire process of natural language processing. Google has their own ahead trained model which we can access to implement NLP across our applications. This idea is just awesome. I really like their simple REST API based access."
    #13
    #13
  25. Merlin

    (11)3.7 out of 5
    Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
  26. Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

    Merlin review by Jose Raul F.
    "Merlin for a magical entertainment: This page has several interesting entertainment content that I am sure someone has caught, at least I liked it in large quantity since I can organize according to the activity where to go and how to properly distribute my time and stay in everything that goes to visit for each thematic attraction."
    #14
    #14
  27. Epic

    (6)4.6 out of 5
    Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.
  28. Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

    Epic review by G2 User in Hospital & Health Care
    "Love this software for revenue cycle services : I love how detailed the program is and how easily you can browse through each tab and quickly learn where to go for what. It’s also very helpful in full cycle billing & collections. You can make & submit claims, adjustments, and many more actions. "
    See all Epic reviews
    #15
    #15
  29. Sonix (sonix.ai)

    (5)4.5 out of 5
    Sonix is an online platform that combines automated transcription and editing. We built the world's first AudioText Editor™ that allows users to edit audio in a revolutionary new way: Edit audio by editing text. Sonix integrates with Adobe Audition, Adobe Premiere, Final Cut Pro, Audacity, and Hindenburg.
  30. Sonix is an online platform that combines automated transcription and editing. We built the world's first AudioText Editor™ that allows users to edit audio in a revolutionary new way: Edit audio by editing text. Sonix integrates with Adobe Audition, Adobe Premiere, Final Cut Pro, Audacity, and Hindenburg.

    Sonix (sonix.ai) review by Santiago A.
    "The simplicity, power and functionality that other programs do not offer.: This complete platform is a pleasant discovery, which has allowed me to take my podcast project to the next level, I have managed to make short films for my social networks thanks to the transcriptions that Sonix.ai provides me. Editing audio requires a lot of time, you can spend hours trying to coordinate those important details, that's why another aspect that I really like about Sonix.ai is that it saves me time not to transcribe those long conversations, it's a relief to have a platform who works for me."
    #16
    #16
  31. PyNLPl

    (5)3.9 out of 5
    PyNLPl is a Python library for Natural Language Processing that contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model.
  32. PyNLPl is a Python library for Natural Language Processing that contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model.

    PyNLPl review by ANAY  P.
    "Best Natural Language Processing library for python.: It's very simple to use and superbly easy to implement software for natural language processing problems. I have been using it for the last few months and I have never looked back. Another best thing about the PyNLPL is that its open source hence no need of paying a huge amount for getting the license to use it. And apart from that the documentation for this open source python library is updated and explained in a very good manner that makes the life of developers like me super easy. It also works with FoLiA XML (Format for Linguistic Annotation) which is the most important feature of this library that makes me dependable on this library every day for solving NLP problem statements."
    #17
    #17
  33. NLTK

    (5)4.4 out of 5
    NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
  34. NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.

    NLTK review by Riya T.
    "Natural Language Processing Eased: It is open-source and has almost all Natural Language Processing algorithms available. One can get data from stopwords to wordnets. One can carry out simple tasks like tokenizing to complex tasks like stemming. It has a large community support. Also it supports multiple languages."
    See all NLTK reviews
    #18
    #18
  35. TextBlob

    (5)4.1 out of 5
    TextBlob is a Python (2 and 3) library for processing textual data that provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
  36. TextBlob is a Python (2 and 3) library for processing textual data that provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

    TextBlob review by Sunil T.
    "A nice solution for text processing!: TextBlob is a powerful tool for NLP enthusiasts. A simple, powerful and easy to use tool, TextBlob allows a variety of features like sentiment analysis, pos-tagging, noun phrase extraction, etc. It has now become my go-to library for performing NLP tasks. If you are a beginner, this is the perfect place to get your hands on with in comparison other alternatives. It is built on top of NLTK and provides much more features than that. "
    #19
    #19
  37. Beeze

    (4)4.5 out of 5
    Breeze is a numerical processing library for Scala.
  38. Breeze is a numerical processing library for Scala.

    Beeze review by G2 User
    "Great church database for staff and general members: We most appreciated that the software did not go up in price as you add members. Its not the best in every details, but for our size church of around 300 we could use it for most everything we needed. The ability to set up automated emails to staff and leaders was also very helpful. "
    #20
    #20
  39. MonkeyLearn

    (5)5.0 out of 5
    MonkeyLearn is an AI platform that allows you analyze text with Machine Learning to automate business workflows and save hours of manual data processing.
  40. MonkeyLearn is an AI platform that allows you analyze text with Machine Learning to automate business workflows and save hours of manual data processing.

    MonkeyLearn review by Neha S.
    "One of the best platform to perform text analysis with machine learning: It has great models of text analysis which helps in getting accuracy. The most useful part is the way of integration it has. This is very helpful for business workflows. It has a very good API and it is also well-documented. The best part is that it is user-friendly and very flexible."