Natural Language Processing solves various problems ranging from content tagging to poor user experience. When combined with Drupal, it can dramatically improve the user experience. Learn how you can leverage NLP with Drupal.
3. Introduction
● Siri, Cortana, Echo, and the Google Assistant are all household names
● The application of machine learning has advanced to an extent that it
can read, understand, analyze and process the language
● Natural Language Processing has already taken the web by storm. Its
ability to understand and process even the sentiments of the content has
brought a new dimension to the web technology
5. Content Classification
● The first step is content extraction where different types of notable
entities from documents, as context, are extracted and analyzed
● When combined with Drupal the information can be evenly organized.
The additional semantic entities in Drupal can be used to categorize
the elements
● Organizations which are burdened with tagging and publishing a huge
number of articles on a daily basis can utilize NLP. It can memorize the
words and their respective categories, after which manual tagging is
not necessary
6.
7. ● It examines the content (texts, images, and videos) and identifies the
emotional outlook within the content, to identify and classify the
writer's attitude as positive, negative, or neutral
● Extracting sentiment from different types of content (tweets, blogs or
a video byte) can provide us with valuable insights into the author's
emotions and point of view
● It serves its purpose truly when the quantity of content published is
beyond human potential
Sentiment Analysis
8.
9. ● It examines the content, keeping the basics of grammar for reference.
After analyzing the tone and sentiments of the content it is easy for
the machine to summarize the content
● With auto summarizer, the machine can easily analyze and write the
summary from the passage keeping in mind the keywords,
sentiments, and the gist of the content
Auto Summarizer
10. ● As tantalizing as the concept of personalization may look, it is equally
important as any other strategy for your business
● Not only it helps boost the sales but it increases the time spent by
customers too. By analyzing the browsing history and shopping
preference the NLP can learn about the choices of the user better and
personalize the suggested content in a better way
Personalizing E-commerce
11.
12. For websites where people can share content through text, images, and
videos, it is not possible to manually filter images that do not match
the standards (are obscene). For this, image screening helps the
system by identifying common shapes, objects, and concepts of images
and returns a list of tags along with a score of how confident the
system is about the result. This score can be used to maintain
standards.
Image Screening and Tagging
15. It can crawl and index thousands of stories which are live and trending
on top with the help of keyword analysis, creating a live data set of
analyzed and filtered data. You can also access real-time news and
important stories of your interest. It can also monitor and measure the
social media reactions on each post, and compose the next post
accordingly.
Social Media Presence
16. ● The discovery of NLP has shifted the focus from an explicit keyword-
based search to context and intent-based content. This has changed the
way SEO works
● Google standards tell us, the SEO strategies should include on-page
optimizations, like page titles, meta descriptions, and meta tags. NLP
helps you find effective keywords and add them to your content to
improve the relevancy as well as the ranking of the content
● These are still effective parameters for bringing out a user-friendly
content, particularly for long tail topics
Enhanced SEO
17. Even if you don’t publish content the way publishing agencies do, it
is very important that your content delivers the value and goals of
the agencies. NLP can create production-ready custom content in
way lesser time.
Editorial and Publishing Solution
18. Solutions with Semantic Technology
With NLP one can review the unstructured data, too, and check large
amounts of varied content (text, image, tweet). Not only it can add
the meta information of a page, but it can also do so after analyzing
the SEO trends around the topic and important keywords.
19. Machine learning has added a new dimension to Artificial
Intelligence. It has the potential to revamp content marketing
across all verticals and dramatically improve the user experience.
Contact us at hello@opensenselabs.com to explore NLP and your
organization’s growth.