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CITY NEWS SENTIMENT ANALYIS

CITY NEWS SENTIMENT ANALYIS Newspapers and blogs express opinion of news entities (people, places, things) while reporting on an events. We present a system that assigns scores indicating positive or negative opinion to each distinct entity in the text corpus. Our system consists of a sentiment identification phase, which associates expressed opinions with each relevant entity, and a sentiment aggregation and scoring phase, which scores each entity relative to others in the same class. Finally, we evaluate the significance of our scoring techniques over large corpus of news.

Automatic sentiment analysis regards the extraction of a sentiment from an unstructured source such as text, images or audio. The recognized sentiments can be classified as positive or negative, or a more fine grained sentiment classification scheme can be used. Sentiment analysis of text, also called opinion mining, only recently received a large interest from the academic community and commercial companies. What people write on persons, products or institutions has an important value in our society and the World Wide Web is an excellent source of such information. The automatic analysis of sentiments on data found on the World Wide Web is useful for any company or institution caring about quality control. For the moment, getting user feedback means bothering him or her with surveys on every aspect the company is interested in.

Making a survey for each product or feature, designing the format, distribution and timing of the survey (sending a form right after purchase might not be very informative), and the reliance on the goodwill of people to take the survey are expensive and time-consuming tasks, yielding not always accurate results. Surveying by means of questionnaires can be made obsolete by gathering such Information automatically from the World Wide Web. One of the sources are blogs (short for “web logs”), a1 medium through which the blog owner makes commentaries about a certain subject or talks about his or her personal experiences, inviting readers to provide their own comments. Other sources are customer review sites and electronic discussion boards or forums, where people can discuss all kinds of topics, or ask for other people’s opinions. There are several additional advantages to automated sentiment analysis. Extracting these opinions is thus extra valuable. Second, opinions are extracted in real-time, allowing for quicker response times to market changes and for detailed time-based statistics that make it possible to plot trends over time. Last, but not least in information retrieval opinion mining assists in discriminating 7opinionated documents from documents that present the information in a neutral way. We are interested in the feelings that people express with regard to certain consumption products. We learn several classification models from a set of examples that are manually annotated, more specifically, from sentences that are annotated as positive, negative or neutral with regard to a certain entity of interest. We define an entity as the non-abstract subject matter of a conversation or discussion.

Project Summary
The project has been made by using Python & Machine Learning in Natural Language Processing (NLP).

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C4CAB

C4CAB This is a cab booking system named as C4CAB. C4CAB  integrates city transportation for customers and driver-partners onto a mobile technology platform ensuring convenient,transparent, and quick service fulfillment.
You deserve to be able to move safely. To look forward to the opportunities ahead.To be connected to people and places that matter most. Which is why we’re focused on your safety, from setting new standards to developing technology with the goal of reducing incidents.

WORKING
C4CAB is a technology platform. Our smartphone apps connect driver-partners and riders.

FRONT END
Android Studio is the official integrated development environment (IDE) for  google’s Android operating system built on jet Brain IntelliJ IDEA software and designed specifically for Android development.

BACKEND
Firebase provides a real-time database and back-end as a service. The service provides application developers an API that allows application data to be synchronized across clients and stored on Firebase's cloud.

TEAM MEMBERS
PRAKASH KUMAR
APURVA
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MULTIBANKING SYSTEM

MULTIBANKING SYSTEM The Multi Banking System Interface is targeted to the future banking solution for the users who is having multiple bank accounts in multiple banks. This interface integrates all existing banks and provides business solutions for both retail and corporate.

This system acts as a standard interface between the clients and all the banks, By using this portal any client who maintain accounts in various banks can directly log on to Multi Banking System Interface and make any kind of transactions. In the back-end, system will take care of the entire obligation required in order to carry on transaction smoothly.

Currently we are having lot of banks in the market and any person can do transactions of any individual bank either manually or in online. But no one can do all banks transactions in a single portal or in single bank. This is the main disadvantage in existing system to avoid this problem we are introducing “multi banking system”.

WORKING ON
Enabling transaction between multiple banks

ADDING BANKS

   1. PNB (Punjab National Bank)
   2. BOB (Bank of Baroda)

GROUP MEMBERS
1.     AKASH RATHORE
2.     ASHISH SAINI
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FOOD DELIVERY WEBSITE

FOOD DELIVERY WEBSITE
This food delivery website is developed in Node.js using React.js as front end and Firebase as back-end .The project also having a user friendly admin panel from where food items are uploaded.

WORKING
This project is commercial project and used  as food delivery website. The user of the services can visit website and order their food .The admin can upload the food items they provide. It is a location based website means website will be visible in only those areas where services are available.

PROJECT MEMBER
ANIKET KUMAR
RISHU RANJAN
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Warehouse

Warehouse A warehouse is a commercial building for storage of goods. Warehouses are used by manufacturers,importers, exporters , wholesalers , transport businesses, customs, etc. They are usually large plain buildings in industrial areas of cities, towns and villages.They usually have loading docks to load and unload goods from trucks. Sometimes warehouses are designed for the loading and unloading of goods directly from  railways, airports or sea ports.

                           

Software & Hardware Specifications

 
Software Used
 
SALESFORCE (part of cloud computing) Task management is a system for automatically routing and escalating important events. The Salesforce customer portal provides customers the ability to track their own cases, includes a social networking plugin that enables the user to join the conversation about their company on social networking website provides analytical tools and other services including email alert, Google search, and access to customers' entitlement and contracts.

 Windows7,windows 8,windows xp,Windows 10

120MB of free disk space

256MB of available memory

Front End Language
JavaScript

Back-End
MySQL

Team Member

BIPIN KUMAR
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