Effect of Using Regression in Sentiment Analysis

Date

2014-04-25

Author

Onal, Itir
Ertuğrul, Ali Mert

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

135
views

0
downloads

In this study, the effect of using regression on sentiment classification of Twitter data was analyzed. In other words, whether the strength of sentiment better discriminates the classes or not. Since our dataset includes class confidence scores rather than discrete class labels, regression analysis was employed on each class separately. Then, each tweet was assigned the class whose estimated confidence score is maximum among others after regression. The feature set used includes unigrams, POS tags, emoticons, sentiments of words and POS tags of sentiments. The results of experiments indicate that using classification on discrete class labels perform much better than using regression on continuous confidence scores.

Subject Keywords

Confidence scores, Regression, Sentiment analysis, Twitter

URI

https://hdl.handle.net/11511/62412

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

Investigating sentimental relation between social media presence and academic success of Turkish Universities Gunduz, Sedef; Demirhan, Fatih; SAĞIROĞLU, Şeref (2014-12-06) In this study an approach that uses social networking data for developing sentiment analysis system is proposed. With the help of developed software, it is tried to find out whether there is any relation between universities' academic success and sentiment of the public about them in social media. After collecting enough text based data from Twitter, preprocessing of data is carried out and final data is trained by means of Naive Bayes Classifier. After testing process, experimental results have shown that ...
Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products Afshar, Mahdı Hesamı ; Yılmaz, Mustafa Tuğrul (American Geophysical Union (AGU), 2019-09-10) In this study, the impact of various rescaling approaches in the framework of data fusion is explored. Four different soil moisture products (Advanced Scatterometer; Advanced Microwave Scanning Radiometer for EOS, AMSR-E; Antecedent Precipitation Index; and Global Land Data Assimilation System-NOAH) are fused. The systematic differences between products are removed before the fusion utilizing various rescaling approaches focusing on different methods (regression, variance/cumulative distribution function (C...
Effective feature reduction for link prediction in location-based social networks Bayrak, Ahmet Engin; Polat, Faruk (SAGE Publications, 2019-10-01) In this study, we investigated feature-based approaches for improving the link prediction performance for location-based social networks (LBSNs) and analysed their performances. We developed new features based on time, common friend detail and place category information of check-in data in order to make use of information in the data which cannot be utilised by the existing features from the literature. We proposed a feature selection method to determine a feature subset that enhances the prediction perform...
Effects of Content Balancing and Item Selection Method on Ability Estimation in Computerized Adaptive Tests Sahin, Alper; ÖZBAŞI, DURMUŞ (2017-01-01) Purpose: This study aims to reveal effects of content balancing and item selection method on ability estimation in computerized adaptive tests by comparing Fisher's maximum information (FMI) and likelihood weighted information (LWI) methods. Research Methods: Four groups of examinees (250, 500, 750, 1000) and a bank of 500 items with 10 different content domains were generated through Monte Carlo simulations. Examinee ability was estimated by fixing all settings except for the item selection methods mention...
Effects of Graph Type in the Comprehension of Cyclic Events Alacam, Ozge; Hohenberger, Annette Edeltraud; Çağıltay, Kürşat (2010-08-11) This study presents an analysis of the effect of different graph types on the comprehension of cyclic events. The results indicated that although round and linear graph designs are informationally equivalent, the round graphs are computationally better suited than linear graphs for the interpretation of cyclic concepts.

Citation Formats

I. Onal and A. M. Ertuğrul, “Effect of Using Regression in Sentiment Analysis,” 2014, p. 1822, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62412.