33 Hits in 3.6 sec

Review on Sentiment Analysis of Twitter Data with Some Classifiers Ensembles

Smridhi Chawla, Priya, Anchal Garg, Bharti Jha
2019 Zenodo  
By this, the result shows some harmonic score to investigate the positive and negative data.  ...  By Sentimental Analysis on twitter, which give the attractive and speedy way to the people to enjoy the above mentioned different things.  ...  ACKNOWLEDGEMENT We would like to express our thanks of gratitude to Accendere Knowledge Management Services for providing us the Platform & Opportunity to pursue the research.  ... 
doi:10.5281/zenodo.2620788 fatcat:aydvxv5lh5h53kv7gvsvpdiixi

A New Method for Writer Identification of Handwritten Farsi Documents

F. Shahabi, M. Rahmati
2009 2009 10th International Conference on Document Analysis and Recognition  
Substantially, the property of proposed method is using of the bank of Gabor filters which is appropriate for structure of Farsi handwritten texts and vision system.  ...  These methods with co-occurrence matrix and Said method are implemented and experimental results on handwriting of 40 peoples demonstrate that the proposed method achieves better performance on Farsi handwritten  ...  Due to no research has been reported on Farsi/Arabic documents, our method is very promising and can achieve better performance with improvement in preprocessing stages and combination local features with  ... 
doi:10.1109/icdar.2009.290 dblp:conf/icdar/ShahabiR09 fatcat:puskduzaivbzzimkmj5ldmoxwu

Automatic Identification of Political Ideology in Online News Articles

2019 Zenodo  
Additionally, Amazon Mechanical Turk is used to measure human accuracy and inter-rater agreement on identifying the ideology of the same texts.  ...  ABSTRACT: The following research discusses text analysis approaches to automatically categorize news articles based on their political ideology.  ...  features from the liberal and conservative corpora via the software's Correlation Ranking Filter.  ... 
doi:10.5281/zenodo.3549475 fatcat:qjsr7ewjlbbzplaiqnd2krzwtq

Extending the Cybercrime Incident Architecture with a feature-­based Cybercrime Classification System (CCS)

Dimitrios Vavatsioulas
Machine Learning techniques, such as Data Mining, are used by the CCS for the Classification process.  ...  The CCS consists of three Components and each serves a different purpose.  ...  Figure 2 .8: Classification of data using Supportvector machine [37] .  ... 
doi:10.6084/m9.figshare.14959692.v1 fatcat:tgru7djdk5csbihqisb6bukm5m

Data Mining in Education : A Review on the Knowledge Discovery Perspective

Pratiyush Guleria, Manu Sood
2014 International Journal of Data Mining & Knowledge Management Process  
and patterns derived by the KDD process which helps in crucial decision-making.Data mining works with data warehouse and the whole process is divded into action plan to be performed on data: Selection,  ...  In this paper, we have reviewed Knowledge Discovery perspective in Data Mining and consolidated different areas of data mining, its techniques and methods in it.  ...  Educational data mining enhance our understanding of learning by finding educational trends which includes improving student performance, course selection, in-house trainings and faculty development.Using  ... 
doi:10.5121/ijdkp.2014.4504 fatcat:5wldcmrngvgojhnwbb5nafze4a

Automating Judicial Document Analysis

Luther Karl Branting
2017 International Conference on Artificial Intelligence and Law  
lexical features; TF/IDF similarity was found to be an effective criterion for finding motions that correspond to orders; and induction over the texts of prior simple and routine decisions was found to  ...  In empirical evaluations on filings from two representative large US District Courts, the highest accuracy in identifying filing errors was achieved by combining procedural context features with high information-gain  ...  ACKNOWLEDGMENT The MITRE Corporation is a not-for-profit Federally Funded Research and Development Center chartered in the public interest.  ... 
dblp:conf/icail/Branting17 fatcat:pb5iwqfayjf3pjfxf62ht6keye

EmotionIMX 2 - CNN-based Emotion Recognition from Multimodal Peripheral Physiological Signals [article]

Sowmya Vijayakumar, Ronan Flynn, Peter Corcoran, Niall Murray
Six different combinations of these signals were investigated to evaluate their joint performance.  ...  The emotion classification performance obtained by fusing the features from multiple modalities were evaluated.  ...  ACKNOWLEDGMENTS This research was funded by Irish Research Council under grant number: GOIPG/2021/357.  ... 
doi:10.6084/m9.figshare.20069369.v1 fatcat:ucrtop65z5bczjfhb3w5g4acxe


Robert E. Schapire, Yoram Singer
2012 Machine Learning  
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting algorithms.  ...  We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks.  ...  Acknowledgments We would like to thank Allen Gorin, David Lewis, Andrew McCallum, Fernando Pereira, Amit Singhal and Jerry Wright for useful discussions and for help with our experiments. Notes  ... 
doi:10.1023/a:1007649029923 fatcat:ofe6zxzvfneohhxwj5msouvl2i

A Comparative Review on Object Detection System for Visually Impaired

Dr K Sreenivasulu, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
The observed text is linked to the blueprint and translated into the performance of the voice. Localized and binarized text patterns utilising Optical Character Recognition (OCR).  ...  The framework first suggests the approach to take an image from the camera and the area of the target to retrieve the object from the context and derive a text pattern from that object.  ...  This is a device that allows people with visual difficulty to understand and convert text patterns into the audio performance.  ... 
doi:10.17762/turcomat.v12i2.1442 fatcat:26hqsbkvd5flxlgy4chejkllre

6. Interested Learning [chapter]

2020 Engines of Order  
This chapter examines one of the most active areas where feature vectors play a central role: machine learning.  ...  of inductive empiricism.  ...  The first improvement Maron and colleague J. L.  ... 
doi:10.1515/9789048537419-008 fatcat:kmirv4p5pfbqldti3wemg7bni4

Exploratory Search on Twitter Utilizing User Feedback and Multi-Perspective Microblog Analysis

Michal Zilincik, Pavol Navrat, Gabriela Koskova, Tobias Preis
2013 PLoS ONE  
The evaluation shows promising results even when navigating in the space of brief pieces of information, making recommendations based only on a small number of ratings, and by optimizing the models to  ...  In order to tackle the first challenge, the representation of microblogs is enriched by information from referenced links, topic summarization and affect analysis.  ...  In this phase, the text is also enriched by words collected from the referenced URLs. In the second step, n-grams of words (n = 1, 2, 3) are constructed and filtered based on syntax.  ... 
doi:10.1371/journal.pone.0078857 pmid:24265724 pmcid:PMC3827108 fatcat:4nfld3cqibakhegwjvrtaxkyfi

Retinal Fundus Image Research for Diagnosis of Diabetic Maculopathy

2019 International journal of recent technology and engineering  
This paper proposes a computer-aided method based on various feature extraction techniques and support vector machines (SVM) for detection and classification of diabetic maculopathy (DM).  ...  Here we go for classification task using the RBF Support Vector Machine (SVM) classification, the techniques have been tested on retinal databases and these are compared with trained phase to categorize  ...  The SVM discover this hyper-plane by means of supportvectors and margins. An SVM model can be considered as points in space that can be categorized in to different categories.  ... 
doi:10.35940/ijrte.b1053.0982s1119 fatcat:wfm4ez6u4zbv7powdxxjgzy3di

A patent search strategy based on machine learning for the emerging field of service robotics

Florian Kreuchauff, Vladimir Korzinov
2017 Scientometrics  
categorization of each document.  ...  We introduce a synergy of a traditional technology identification process, namely keyword extraction and verification by an expert community, with a machine learning algorithm.  ...  Consequently, these insignificant features had to be excluded from the data -for the purpose of improving the SVM performance.  ... 
doi:10.1007/s11192-017-2268-3 fatcat:yoj5wtar25hvxmuvdylkl26gau

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation

Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
A post-experiment survey of participants provides insights into how to evaluate and improve the quality of natural language generation systems 1 .  ...  In general, distinguishing machine-generated text is challenging even for human evaluators, and human decisions correlate better with lexical overlaps.  ...  This work is in part supported by the National Science Foundation under grant numbers 1633370 and 1620319 and by the National Library of Medicine under grant number 2R01LM010681-05.  ... 
doi:10.18653/v1/d19-1409 dblp:conf/emnlp/GarbaceaCYM19 fatcat:zowsk44o3beavb3jahrlyfozry

Email Spam Filtering: A Systematic Review

Gordon V. Cormack
2008 Foundations and Trends in Information Retrieval  
How might they be improved? Will their effectiveness be compromised by more cleverly crafted spam?  ...  given the state-of-the-art information retrieval and machine learning methods for seemingly similar problems.  ...  will improve filter performance.  ... 
doi:10.1561/1500000006 fatcat:rdmysuohjbd5de54ktguwsoqum
« Previous Showing results 1 — 15 out of 33 results