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Tag: Natural Language Processing Courses

Create a Facebook Bot using NLP

Posted on by Imarticus Learning

Chatbot, the computer program made using artificial intelligence, mimics human conversation and can reply automatically to queries. The key player inside this program is Natural Language Processing (NLP) which helps with the ‘translation’ of the human queries into a form that the machine can understand. 

It involves data analysis and giving the right input to make the machine capable of doing what it is expected to. When you have the resources, it is now easier to build a bot with the right NLP tools and platforms.

When do you need a Facebook bot?

The Facebook bot is used for the FB pages to improve customer service, to make communication easier for the transactions in e-commerce, etc. It is a way of optimizing the overall customer satisfaction and taking the business forward. 

Facebook has its own user interface called Wit.ai that helps with the creation of intents, agents, and entities. It is completely free, comes with a manual, and integrates well with NLP. Most importantly, it works well with Python, Nodje.js, and Ruby. For those who are familiar with the codes and are willing to spend some time, a Facebook bot building is possible for anyone. 

How to create a Facebook bot?

  • Create a Facebook account and have a page dedicated to your business or brand.
  • Connect the business account or the page with the Bot builder of Facebook. 
  • After going through the manual carefully, start by creating a welcoming reply which will be the default for all customers. 
  • Now comes the most important conversation structure that helps with the navigation of the conversations. It includes pictures, URLs, audio, video, or any kind of media, etc., depending upon the expectations from this chatbot.
  • Once the structure is done, provide the necessary inputs for the dialogues while making sure that they are brief, clear, and relevant. 
  • The next step is creating the ‘brain’ or AI that works with the structure to perform specific tasks according to the commands recognized and received.  
  • Test the new bot for any errors and malfunctions. Go through every aspect and structure of the bot. 
  • The final step is to launch the chatbot by providing the link to your Facebook page. 

Is it as easy as it looks?

In simple terms, yes, it is as easy as it sounds. But the catch here is to have someone who knows about the technology and is familiar with data analysis and machine learning. Those who have completed courses such as the Post Graduate Program in Data Analytics will be a good contender for this task. 

The reason is, the Facebook UI has a steeper learning curve and can take some time to complete. The UI does not offer any visual aspect for the whole programming. So it needs some coding to do and a few other technical nuances to ace the process. So a professional, experienced or a beginner would be requisite. When all these necessities are fulfilled, then yes, creating a Facebook bot will be easy. 

Conclusion

Regardless of the difficulty level of creating one, the Facebook bot has become one of the most efficient ways of connecting with customers. There are several other platforms such as Dialogflow to help with this creation. If you are interested in building such fascinating tools and technologies do enroll in the data analytics course.

The best Data Analytics course with placement will give you the necessary boost to help you land the job, as early as possible. 

Complete Overview on – Computer Science And Engineering(CSE) Projects!

Posted on by Imarticus Learning

Computer science is a branch of engineering that deals with the logical investigation of computers and their use like calculation, information preparing, frameworks control, advanced algorithmic properties, and man-made reasoning.

The skills of computer science incorporate programming, outline, examination, and hypothesis. Computer science engineering includes outlining and advancement of different application-based programming. Computer science venture points can be executed by various instruments, for example, C, C++, Java, Python, .NET, Oracle, and so on.

Mini Projects

A mini project is a bit of code that can be produced by a group or a person. Small-scale projects are utilized as a part of the Student field. A mini project is a source code with enhanced capacities it can even be taken as the last year venture.

Computer vision coursesLast year Mini undertakings, which they may need to make as a part of their instructive educational programs. These projects can be created in JAVA, VB .NET, ASP .NET, C, C++, PHP, C#, JSP, J2EE, ASP, Cloud Computing Networking, Big Data, Data Mining and that’s just the beginning.

 

You can get online courses at Imarticus with guaranteed internships over different languages C, C++, Java, Python, etc..

Topics

The topics for mini Projects in Computer Science and Engineering are as follows:

 

IEEE Java Mini Projects

Java is the world’s most popular language and it controls billions of gadgets and frameworks around the world. An assortment of recommended understudy term ventures is including java. Here are some IEEE java venture lists utilizing the most recent methods.

Most recent Java points, Latest java Concepts, Java venture focuses with astounding Training and improvement, Latest J2EE Projects with ongoing Technology. Here is a rundown of undertaking thoughts for Software ideas. Some of the project ideas involving the concepts of java are as follows:

  • Classroom scheduling service for smart class
  • Privacy-preserving location proximity for mobile apps
  • Mobile attendance using near-field communication.
  • LPG booking online system by smartphone

Projects on Cloud Computing

Cloud computing is the conveyance of on-request figuring assets over the internet, huge development in the recent software technologies which is associated with the remote servers through a systems administration connection between the customer and the server.

The information can be uploaded and it can be anchored by giving diverse sorts of security. Systems for securing information respectability, message validation codes (MACs), and advanced marks, require clients confirmation to download the majority of the records from the cloud server, We have the best in the class foundation, lab set up, Training offices, And experienced innovative workgroup for both instructive and corporate areas. The project topics for cloud computing are as follows:

  • An efficient privacy-preserving ranked keyword search method.
  • Vehicular Cloud data collection for Intelligent transportation system.
  • A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data.
  • Live data analysis with Cloud processing in wireless Iot networks.

Projects on Big data/Hadoop

Big Data is having a huge development in the application industry and in addition to the development of Real-time applications and advances, Big Data can be utilized with programmed and self-loader from numerous points of view, for example, for gigantic information with the Encryption and decoding Techniques and executing the charges.

Big Data examination has been an exceptionally hot dynamic amid recent years and holds the potential up ’til now to a great extent undiscovered to enable chiefs to track improvement advance. Most recent Big Data themes, Latest Big Data Concepts regions take after:

  • An online social network based Question Answer System using Big data
  • Efficient processing of skyline queries using Big data
  • User-Centric similarity search
  • Secure Big data storage and sharing scheme for cloud tenants.

Don’t miss reading Software Every Engineer Should Know About.

Projects in Networking

Networking works with all the directing conventions, for example, exchanging the information from a place to another which takes the assistance of numerous conditions like filaments and so on, Adhoc systems are utilized for exchanging information from a portable system to a web application. Some of the networking based projects are:

  • Cost minimization algorithms for data center management
  • Detecting malicious Facebook applications
  • Software-defined networking system for secure vehicular clouds

Data Mining Projects

Data mining is the mining of information from data, Involving techniques at the crossing point of machine learning, insights, and database frameworks. It’s the intense new innovation with awesome potential to enable organizations to center around the most critical data in their information stockroom.

We have the best-in-class foundation, lab set up, Training offices, and experienced innovative workgroups for both instructive and corporate parts. The projects topics on data mining are as follows:

●Link Analysis links between individuals rather than characterizing the whole
●Predictive Modelling (supervised learning) use observations to learn to predict
●Database Segmentation (unsupervised learning) partition data into similar groups

Learn Cloud Computing, Big Data, Data Mining, and many other courses at Imarticus with guaranteed internships.

Some more computer science-based project topics are:

  1. Data  Warehousing and Data Mining Dictionary
  2. Fuzzy Keyword Search in Cloud Computing over Encrypted Data
  3. Web-Based Online Blood Donation System
  4. Web-Based Graphical Password Authentication System
  5. Identification and Matching of Robust-Face Name Graph for Movie Character
  6. Controlling of Topology in Ad hoc Networks by Using Cooperative Communications
  7. An SSL Back End Forwarding Scheme of Clusters Based On Web Servers
  8. Motion Extraction Techniques Based Identifying the Level of Perception Power from Video
  9. Approximate and Efficient Processing of Query in Peer-to-Peer Networks
  10. Web-Based Bus Ticket Reservation System

Solve Real-world Text Analytics Problems With NLP!

Posted on by Imarticus Learning

Solve Real-world Text Analytics Problems With NLP!

Natural language processing (NLP) helps machines analyze text or other forms of input such as speech by emulating how the human brain processes languages like English, French, or Japanese. NLP consists of ‘natural language understanding’ and ‘natural language generation’ which help machines create a summary of the information or assist in taking part in conversations.

With the advent of natural language processing, services like Cortana, Siri, Alexa, and Google Assistant are finding it easier to analyze and respond to requests from users. This is opening up many new possibilities in human-machine interactions and helping improve existing systems and services.

In this article, we will cover how NLP is helping provide solutions for various requirements of text analytics in different sectors.

Significance of NLP in modern times

data analytics courses

NLP can analyze massive amounts of text-based data with consistency and accuracy. NLP courses help summarize key concepts from large unstructured complex texts. It also helps in deciphering or analyzing ambiguous statements or sentences. It can draw connections and also investigate deeper meanings behind seemingly normal data in the form of text.

With the massive amounts of randomized forms of textual data that is generated on a daily basis, automation is highly necessary for this field to analyze the large amounts of data from text efficiently and effectively. Ranging from text posted on social media to customer service, natural language processing is powering text analytics which is making life easier for both consumers and corporations. 

How text analytics along with NLP is helping businesses? 

Text analytics can be described as a process of analyzing a massive or specifically targeted volume of unstructured textual data and translating it into quantitative information to gain valuable insights through patterns and trends.

With the help of additional visualization of this data, text analytics allows corporations to understand the sentiments, deeper meaning, or compact information behind this data and helps them take data-backed or data-centric decisions for improved results through better performance or profit.

These companies collect massive amounts of unstructured textual data from sources like social media, e-mails platforms, chat services, and historic data from previous interactions or third parties. This could prove to be a challenge without the help of natural language processing which powers text analytics, helping analyze the massive amounts of data without the need to stop or for human interference. 

The same amount of data, being manually processed seems like an impossible, never-ending task. Manually processing even a tiny bit of the colossal amount of data that is generated daily would definitely take a lot of manpower. Hence, it is not cost-effective and would also lead to inaccuracy and duplication. This is where text analytics comes to the rescue.

With the help of text analytics, companies can excavate meaning and sentiments from unstructured textual data sourced from social media posts, content inside e-mails, chat services, and surveys or feedback. 

This helps businesses identify patterns and trends which lead to providing customers with improved experiences by analyzing service or product issues and customer expectations through market research and monitoring with text analytics.

Natural Language ProcessingHere are some real-world applications of text analytics and natural language processing:

Customer care service

Data generated from surveys, chats, and service tickets can help companies improve the quality of customer service by increasing efficiency and decreasing the time taken in resolving problems.

Illegal activity and fraud detection 

Text analytics helps in analyzing unstructured data from various internal or external sources to prevent fraud and warn governments or companies of illegal and fraudulent activities. 

Natural Language ProcessingSocial media analytics

Text analytics is being used by brands to analyze customer preferences and expectations through the extraction of sentiments and summarized opinions from textual data sourced from social media platforms like Facebook and Instagram. 

Text analytics and NLP are increasingly becoming more effective for companies to depend on and encouraging them to take more data-backed decisions. This need is making way for better, more accurate, and faster analytical tools and technologies in the future.