Table of contents
1.
Introduction🧾
2.
Attensity for Big Data
3.
Attensity 4.1's Industrial-Strength Text Mining
4.
Frequently Asked Questions
4.1.
What is a text analysis tool?
4.2.
What are the latest tools used for Text Mining?
4.3.
What is a Text Mining tool?
5.
Conclusion
Last Updated: Mar 27, 2024

Attensity

Author soham Medewar
0 upvote
Career growth poll
Do you think IIT Guwahati certified course can help you in your career?

Introduction🧾

More than 10 years ago, Attensity was one of the first text analytics startups to develop and sell products. It currently has over 150 enterprise customers and is one of the largest NLP development teams in the world. 

Text analytics engines are available from Attensity. Entity Extraction, Auto-Classification, and Exhaustive Extraction are a few of them. Attensity's flagship technology, Exhaustive Extraction, pulls facts from the parsed text and organizes them.

Attensity for Big Data

big data

📕By analyzing text for reporting from internal and external sources and then routing it to business users for interaction, the company is focusing on social and multi-channel analytics and engagement. It just acquired Biz360, a social media firm that gathers massive amounts of social material. It has created a grid computing system that is capable of processing enormous volumes of real-time text at rapid speeds.

📕To store data, Attensity uses the Hadoop framework (MapReduce, HDFS, and HBase). It also includes a data-queuing system that generates an orchestration process that detects surges in inbound data and optimizes processing across more/fewer servers as needed.

📕Attensity offers software systems that can handle massive volumes of textual data and deliver significant insights to business analysts working in financial institutions, government bodies, insurance companies, and other major corporations. Text analytics software from Attensity extracts relationships, facts, and sentiment from structured and unstructured data.

Attensity 4.1's Industrial-Strength Text Mining

📗A business analytics feature set for text mining and analysis is a critical tool in any really knowledge-managed firm. Attensity's line was just modified to version 4.1, and the effects are astounding.

📗Text mining programs analyze unstructured and structured texts to discover and uncover links between different types of data. If the technology enables idea and vocabulary mapping, it can narrow the scope of discovery to areas such as fact-based marketing clustering, product failure analysis, competitive intelligence, and fraud detection. The more text a company has, the fewer obvious options most human analysts can hold onto, and the more relationships a text analysis technology can condense and provide to the analyst for evaluation.

📗Attensity calls its multi-module text analytics product a "suite", the five browser-based functions do complement each other pragmatically. "Text Search" allows for iterative text document exploration. "Discover" allows you to categorize, combine, and explain terms, as well as structure findings for further investigation. The "Analytics" is a module that gives graphical visualization capabilities to analyze findings. The "Alert" module sends messages based on new data circumstances, allowing for quick event reactions.

Frequently Asked Questions

What is a text analysis tool?

Text analysis software, often known as text analytics or text mining software, uses natural language processing to assist users in getting insights from both organized and unstructured text data (NLP). Sentiment analysis, keywords, language, themes and patterns, and entities are examples of such insights.

What are the latest tools used for Text Mining?

MonkeyLearn, Google Cloud NLP, IBM Watson, Amazon Comprehend, AYLIEN, Thematic, and MeaningCloud are some of the latest tools that can be used for Text Mining.

What is a Text Mining tool?

Text mining technologies, which are equipped with Natural Language Processing (NLP), are used to analyze various forms of text, from survey replies and emails to tweets and product reviews, assisting organizations in gaining insights and making data-driven choices.

Conclusion

In this article, we have discussed the text analysis tool Attensity. Also, we have discussed Attensity 4.1’s industrial strength in the fields of text mining.

Want to learn more about Data Analysis? Here is an excellent course that can guide you in learning. You can check out our blogs on Top 100 SQL ProblemsInterview ExperiencesProgramming Problems, and  Guided Paths. If you want to learn more, check out our articles on Code Studio.

Happy Coding!

Live masterclass