SAP-RI: Twitter Sentiment Analysis in Two Days

نویسندگان

  • Akriti Vij
  • Nishtha Malhotra
  • Naveen Nandan
  • Daniel Dahlmeier
چکیده

We describe the submission of the SAP Research & Innovation team to the SemEval 2014 Task 9: Sentiment Analysis in Twitter. We challenged ourselves to develop a competitive sentiment analysis system within a very limited time frame. Our submission was developed in less than two days and achieved an F1 score of 77.26% for contextual polarity disambiguation and 55.47% for message polarity classification, which shows that rapid prototyping of sentiment analysis systems with reasonable accuracy is possible.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...

متن کامل

Text Analytics of Customers on Twitter: Brand Sentiments in Customer Support

Brand community interactions and online customer support have become major platforms of brand sentiment strengthening and loyalty creation. Rapid brand responses to each customer request though inbound tweets in twitter and taking proper actions to cover the needs of customers are the key elements of positive brand sentiment creation and product or service initiative management in the realm of ...

متن کامل

SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis

We describe the submission of the SAP Research & Innovation team to the SemEval 2014 Task 4: Aspect-Based Sentiment Analysis (ABSA). Our system follows a constrained and supervised approach for aspect term extraction, categorization and sentiment classification of online reviews and the details are included in this paper.

متن کامل

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

2016 Olympic Games on Twitter: Sentiment Analysis of Sports Fans Tweets using Big Data Framework

Big data analytics is one of the most important subjects in computer science. Today, due to the increasing expansion of Web technology, a large amount of data is available to researchers. Extracting information from these data is one of the requirements for many organizations and business centers. In recent years, the massive amount of Twitter's social networking data has become a platform for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014