Despite being a small, medium, or large-scale business that you’re running, you might have definitely heard the statement “Data is the key to business success”. This statement is followed all across the world. Well, your business is unable to compete in the digital world without the assistance of enough data related to its employees, stakeholders, and users. Businesses struggle through all types of structured and unstructured data from several sources while on the aim to gather insights. In such a scenario, text analysis software comes into play. It helps in extracting decision-making data. This software is unique from other forms of resources such as images, documents, and videos. It is because most often, users input their opinions, feedback, and reviews, in the form of text after receiving the services or products.
As businesses came to know about the significance of structured text data, they shifted their attention toward this software for text analytics, text analysis, and text mining. The advanced technology offers statistical pattern learning to gain trends and patterns from text data. In this article, we have listed the top 10 software for text analysis, mining, and analytics that are transforming the way text data is used.
Table of Contents
Common Features of Text Analysis Software
Text Analysis Software has several capacities that can assist developers in extracting insights from text data.
- Language identification
Text Analysis Software offers the ability to the developers to understand the language of the text. This proves to be helpful while determining the source of a social media post or when a company has branches in different countries.
- Part of speech tagging
Once the language is identified, Text analysis software is capable of tagging each word with a part of speech after identifying the language. It also signifies if the word is a verb, noun, adjective, and so on.
- Syntax parsing
Syntax parsing is quite identical to part of speech tagging. Well, instead of understanding each word, it aids in making parts of a sentence in the way it was constructed and why.
- Entity recognition
Text analytics solutions are capable of determining not only parts of speech but also actual entities. For illustration, the part of speech may be a verb, but text analytics will break down whether that verb is transitive or intransitive.
- Keyphrase extraction
Keyphrase extraction is another main feature of text analysis and text mining. It enables developers to determine themes and patterns within the text.
To qualify for addition to the Text Analysis software list, a solution must:
- The software should be able to extract text data from a list of multiple data sources
- It must utilize natural language processing to gain insights from the text, including languages, sentiments, key phrases, and other patterns
- It must offer visualizations for text data
Top 10 Text Analysis Software to Use
Now, that you have understood the meaning and significance of text analysis software for your businesses, let’s dive straight into the top 10 available software for text analytics, analysis, and mining. The following are the best solutions as per our research:
DiscoverText
DiscoverText is a software that offers strong organizational text analytics to students, staff, and researchers in an easy-to-understand and feasible way. The software supports a number of bilinguals, human annotation, machine learning features, text mining, and data science. The users can analyze the bulk of text data accurately and quickly. DiscoverText software also provides several plain to advanced cloud-based software tools. It also facilitates by offering access and filtering alternatives to its users from the unstructured document on market research, and related metadata found in emails, social media, customer feedback platforms, large-scale surveys, and other forms of text data.
IBM Watson Discovery
Watson Discovery is an enterprise search tool. It is also an artificial intelligence search technology that tears apart open data silos. It retrieves particular solutions to users’ queries and analyzes relationships and trends present in enterprise data. The software is well versed in the language of consumers’ domain and inputs machine learning technologies to analyze documents. With the support of IBM Watson Discovery software, developers can enrich, normalize, ingest, and look for unstructured data with accuracy and speed.
RapidMiner
RapidMiner is a strong data mining solution. It assists the user in text analysis, text mining, text analytics, modeling operations, and deployment. RapidMiner is an open and expandable data science platform. It welcomes artificial intelligence to businesses. It is designed with special attention for the data team. This software amalgamates the complete data science lifecycle starting from data preparation to assumable model deployment. Every analysis is a process in the RapidMiner platform, each analysis step or transformation is an operator. It aids in making design fully reusable, fast, and easy to understand.
Google Cloud Natural Language API
Cloud Natural Language API offers natural language understanding technologies to users such as text mining, entity analysis, text analysis, content classification, sentiment analysis, text analytics, and syntax analysis. In the software, natural language operates on machine learning to show the meaning and structure of the text. Developers can retrieve information related to people, events, and places. Also, they can understand the sentiments of social sites and customer conversations in a better way. Cloud Natural Language API has a natural language provision. It facilitates developers to understand documents and also merge them with their text storage on Cloud software.
Azure Cognitive Services
Artificial intelligence is now within reach for every user after the creation of Microsoft’s Azure Cognitive Services. It does not require any machine learning expertise. The software implants the capacity to speak, analyze, see, speak, hear, search, and promotes decision-making in users’ apps. Azure Cognitive Services is software that operates across all programming languages and software. It assists in incorporating AI functionality into several applications with the least coding and effort.
Also Read: What Is Test Automation: The Ultimate Guide
Bismart Folksonomy
Bismart Folksonomy is a next-generation tagging software. With the help of this solution, users can mine their datasets and instantly acquire the data they want to receive. Bismart Folksonomy spotlight tags from videos, images, audio files, and natural language texts that assist in locating particulars in it. Folksonomy comes with an advanced analytics feature. It offers perception by converting non-structured documents into structured ones. Bismart’s Folksonomy also has some special features such as a white list to differentiate homonyms, a user-friendly tool to merge synonyms, a blacklist to bring down tags, and the capacity to design customized and technical dictionaries.
Apache OpenNLP
It is an open-source natural language processing Java library. Apache OpenNLP comes with text analysis functions such as part-of-speech tagging, named entity identification, language identification, sentence detection, tokenizing, chunking, and lemmatization. Apache OpenNLP software enables users to find solutions for complex functions of classifying and preparing text with the help of machine learning methods. It was built by volunteers. Well, It often searches for new volunteers to operate in all areas.
TAMS
TAMS stands for Text Analysis Markup System. It is an open-source program. It facilitates users to code portions of text quickly. It is an agreement for recognizing themes in texts such as field notes, interviews, and web pages. However, TAMS is most often used to encode interviews that fall under ethnographic documents. Some users use TAMS to deeply analyze any simple text. The software leverages users to encrypt parts of texts to make them searchable within their corpus.
KNIME Text Processing
KNIME Text Processing was built and designed for understanding and processing textual data. It converts the textual data into numerical data to input regular KNIME data mining nodes. KNIME Text Processing has many features such as text mining, information retrieval, and natural language processing. This software transfers textual data, and procedures documents by stemming and filtering, converts documents into a list of document vectors and words, and at last aggregates the documents based on their numerical representation.
Gensim
Gensim is an open-source library for natural language processing and unsupervised topic modeling. It uses advanced statistical machine learning. Gensim is capable of performing complex tasks such as designing word vectors or documents, attempting topic identification, studying plain-text documents for semantic formation, and offering document analysis. It performs such functions with the use of advanced statistical machine learning and top academic models.
Conclusion
To conclude, these were some of the best available options for text analysis software. Text analysis software is also referred to as text mining or text analytics software. With the help of this software, users can retrieve perception from both structured and unstructured text data. It is possible because of natural language processing (NLP). Key phrases, language, patterns and themes, sentiment analytics, entities, and others are a part of such insights. These software abstract machine learning and NLP to bring out multiple insights and offer a visual description of the data for convenient interpretation.
Text analyst tools can gain data from a number of sources such as phone transcripts, emails, customer reviews, surveys, and other related documents. By collecting data from multiple sources, companies gain the necessary equipment to analyze and understand employee or user sentiment, improve written content, and intelligently differentiate documents. In this article, we talked about the 10 best text analysis software that you can explore in 2022. If you have any other queries, kindly connect with us at SaaSworthy.
