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text analysis

Text analysis, often referred to as text mining and text analytics is the act of converting text into data that machines can comprehend, analyze, and evaluate to provide important insights.

Text analysis tools assist businesses in making better decisions by extracting keywords or entities and classifying text by sentiment, topic, and intent.

Furthermore, you can create your analysis tools with open-source libraries, or you can purchase a ready-made solution

Not everyone will have an in-house team of machine learning experts to build text analysis tools. Even if you do, you’ll want to start reaping the benefits of text tools as soon as possible, which is difficult when you’re creating complex AI tools from scratch.

Finally, List of the best text analysis tool in 2023:

  • Bytesview
  • Monkeylearn
  • Aylien
  • Google cloud nlp
  • Lexalytics
bytesview text analysis

BytesView is a text analysis tool that analyzes any piece of text using machine learning and natural language processing. BytesView aims to push the boundaries of NLP to automate more and more tasks so they no longer require human-level cognition.

It is a thriving data analytics and data gathering company that focuses on providing fast, accurate, and authentic data and analysis solutions.

Furthermore, Bytesview provides various services in the data analytics domain through the following products:

  • NewsData

2. Bytesview

monkeylearn text analysis

MonkeyLearn is a simple-to-use but effective machine-learning application that focuses on automatically evaluating text and deriving meaningful insights from data. You can utilize pre-trained text models or construct your own – and adjust them to your needs for greater accuracy.

Text analysis models include text classifiers and text extractors, allowing you to perform sentiment analysis, keyword extraction, intent classification, language recognition, and much more in seconds.

Don’t be concerned if you’re new to text analysis software. MonkeyLearn is a machine learning platform with a point-and-click interface that allows you to easily construct your text analysis tools.

Key connectors with daily tools such as Excel, Google Sheets, Zapier, RapidMiner, and Zendesk provide direct access to your data.

3. Aylien

Aylien is a popular business intelligence solution among developers. It employs artificial intelligence, natural language processing, and machine learning to extract value from the text. Aylien can help you acquire the insights you need to make data-driven decisions and construct complete strategies if you want to improve your strategy, from customer care to brand development.

How? Aylien’s technique is to collect and understand data so that machine learning models can label, analyze, and finally interpret it using various text analysis methods.

Moreover, Aylien provides models for social sentiment analysis, entity extraction, content aggregation, language identification, batch processing, topic discovery, automatic hashtagging, and more, centered on simple, effective, and powerful analysis APIs.

4. Google cloud nlp

Google, not wanting to be left behind, has supplied its solution to the burgeoning text analysis trend in the shape of Google Cloud NLP. This technology assists businesses in finding meaning and gaining insights from unstructured material.

Moreover, Google Cloud NLP is primarily concerned with text applications such as entity extraction, syntax analysis, sentiment analysis, and content classification. If you want to train your machine learning models, you’ll only need some training data to fine-tune your models to your domain-specific keywords, sentiments, and subjects, for example.

One more benefit! You may use Google’s AI tools in conjunction with Cloud Storage to create a seamless text analysis experience.

5. Lexaytics

Lexalytics is a modular platform solution that houses three analysis tools: Salience (on-premise NLP), Semantria (Cloud NLP), and SSV (search and visualization) (Storage & Visualization).

Besides, Salience is an excellent on-premise solution that provides text analytics libraries that are simple to integrate with users’ applications. Sentiment analysis, named entity extraction, theme extraction, classification, intent analysis, summarization, tokenization, part-of-speech tagging, and language recognition are all available from Salience.

Moreover, semantria is a cloud-based API for text analytics and natural language processing that lets users do the same things Salience does.


Finally, these are some of the best tools available in the market to analyze your unstructured data.

You don’t need to set up complicated infrastructure, hire a team of machine learning specialists, or wait months to enjoy the advantages – SaaS technologies are ready to use in minutes.

Stay tuned for upcoming blogs.

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