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Cross-Domain Recommendation Model based on Hybrid Approach

Smriti Ayushi, PES University/Department of Computer Science, Bangalore, 560085, India, V R Badri Prasad
2018 International Journal of Modern Education and Computer Science  
Model is capable of generating one to many cross domain recommendations exploiting movie domain knowledge to generate recommendations for books and music.  ...  Under this research work cross domain recommendation model is designed based on the study of various supervised classification algorithms. 3 domains are under consideration music, movie and book.  ...  Twitter Sentiment Analysis Using Python On the recommendations which are given as an output of cross-recommender model in the desired output domain i.e. can be books/music/movie, this is done to give the  ... 
doi:10.5815/ijmecs.2018.11.05 fatcat:wglw4fcrvrah7lgedyti7llq3a

A Survey on Sentimental Analysis Approaches using Machine Learning Algorithms

Anith Ashok, Dr. Sandeep Monga
2022 International Journal for Research in Applied Science and Engineering Technology  
It is concluded from the work that sentiment analysis on text can be improved if combined with other features like emojis. It can further be improved by using hybrid models.  ...  Keywords: Time series forecasting, Sentiment Analysis, Hybrid Models  ...  Most of the research works imply that cross-domain sentiment classification has recently received more attention with the domain adaptation than single domain classifiers in terms of classification accuracy  ... 
doi:10.22214/ijraset.2022.42005 fatcat:ss2f2lpznzcktakldpbete3evu

An Ensemble Model using a BabelNet Enriched Document Space for Twitter Sentiment Classification

Semih Sevim, Sevinç İlhan Omurca, Ekin Ekinci
2018 International Journal of Information Technology and Computer Science  
This situation makes the sentiment classification of social media texts more complex. In this paper a sentiment classification model for Twitter messages is proposed to overcome this difficulty.  ...  Then the expanded and the original form of the messages are included in an ensemble learning model.  ...  This causes a decline in classification performance because of domain-dependent sentiment words. Polarity of these words such as "short" change from domain to domain.  ... 
doi:10.5815/ijitcs.2018.01.03 fatcat:v7zk6jftgvgp7hd3y5hja36dpq

CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection [article]

Jens Lemmens, Jens Van Nooten, Tim Kreutz, Walter Daelemans
2022 arXiv   pre-print
For both tasks, not only Twitter but also Facebook data was used to show cross-genre performance.  ...  An error analysis indicated that the domain adaptation yielded better representations of domain-specific terminology, causing CoNTACT to make more accurate classification decisions.  ...  Overall, both models perform better on Twitter than on Facebook data, including the cross-genre experiments, similarly to the stance classification experiments.  ... 
arXiv:2203.07362v1 fatcat:lpgquayf5bg6nczs5pyb3vmtay

Sentiment Analysis of Twitter Data: A Survey of Techniques

Vishal A., S.S. Sonawane
2016 International Journal of Computer Applications  
on Twitter are also discussed in this paper.  ...  This survey focuses mainly on sentiment analysis of twitter data which is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous and are either positive  ...  [13] used an ensemble framework for Sentiment Classification which is obtained by combining various feature sets and classification techniques.  ... 
doi:10.5120/ijca2016908625 fatcat:6nxrdldcmjbzlgidaakuurq6pa

Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques

Wedjdane Nahili
2020 International Journal for Research in Applied Science and Engineering Technology  
Recently, there is a growing need for implementing various approaches and models for efficiently processing this type of data and extracting useful information.  ...  With the availability of text data in various forms on social media platforms, text mining, and sentiment analysis has received huge attention.  ...  In this paper, an experimental study on sentiment polarity classification had been conducted.  ... 
doi:10.22214/ijraset.2020.1056 fatcat:hxl3jiphajh3jofmnou4sq5fzi

Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams

Ilia Chetviorkin, Natalia Loukachevitch
2014 Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
Relying on co-occurrence statistics of extracted words in a large unlabeled Twitter collections we utilize the Markov random field framework for the word polarity classification.  ...  In this study we explore a novel technique for creation of polarity lexicons from the Twitter streams in Russian and English.  ...  In the second step an algorithm for polarity classification of extracted sentiment words is introduced.  ... 
doi:10.3115/v1/w14-2612 dblp:conf/wassa/ChetviorkinL14 fatcat:zez4ulmzenacdp47twrplfgi3i

Multi-Layer Classification and Segmentation with Opinion Mining Learning Ensemble

Ravi Kumar Kuchipudi, V.V. Jaya Rama Krishnaiah
2021 Zenodo  
This research provides a classification system to perform Twitter Opinion Mining Segmentation based on Ensemble Learning.  ...  The suggested approach can detect and filter out boxes and uses text segmentation for efficient text classification and voice taging.  ...  An architecture has been suggested for a Twitter opinion miner to build an opinion miner for Twitter.  ... 
doi:10.5281/zenodo.5641614 fatcat:htnxob2qqreflcrzpozppew5ue

Survey and Analysis of Recent Sentiment Analysis Schemes Relating to Social Media

Osamah Ali Mohammed Ghaleb, Anna Saro Vijendran
2016 Indian Journal of Science and Technology  
Thus this paper work provides a detailed analysis of the recent sentiment analysis schemes and throws light on new avenues for future research work in this domain.  ...  Methods/ Statistical Analysis: Extraction of the information from the web, classification and prediction of the sentiment polarity is a complex process which performed through various approaches like Part-Of-Speech  ...  PoliTwi method 10 was proposed for early detection of the political topics on twitter which would have an impact on the concept-level sentiment analysis.  ... 
doi:10.17485/ijst/2016/v9i41/97767 fatcat:447w5xhaunaavfxgbitggsjhqi

Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble

Nádia Silva, Estevam Hruschka, Eduardo Hruschka
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
We make use of an ensemble learning method for sentiment classification of tweets that relies on varied features such as feature hashing, part-of-speech, and lexical features.  ...  We describe our approach for the SemEval-2014 task 9: Sentiment Analysis in Twitter.  ...  Acknowledgements The authors would like to thank the Research Agencies CAPES, FAPESP, and CNPq for their financial support.  ... 
doi:10.3115/v1/s14-2017 dblp:conf/semeval/SilvaHH14 fatcat:pxgobftxirhgnn3x6ujxpwz6xe

Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble

Nádia Silva, Estevam Hruschka, Eduardo Hruschka
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
We make use of an ensemble learning method for sentiment classification of tweets that relies on varied features such as feature hashing, part-of-speech, and lexical features.  ...  We describe our approach for the SemEval-2014 task 9: Sentiment Analysis in Twitter.  ...  Acknowledgements The authors would like to thank the Research Agencies CAPES, FAPESP, and CNPq for their financial support.  ... 
doi:10.3115/v1/s14-2018 dblp:conf/semeval/X14a fatcat:bhtf4ihr3zgzneb6pufmpgiasi

Anxious Depression Prediction in Real-time Social Data [article]

Akshi Kumar, Aditi Sharma, Anshika Arora
2019 arXiv   pre-print
Preliminary results are evaluated for tweets of sampled 100 users and the proposed model achieves a classification accuracy of 85.09%.  ...  Mental well-being and social media have been closely related domains of study. In this research a novel model, AD prediction model, for anxious depression prediction in real-time tweets is proposed.  ...  They also developed an application based on their proposed model for mental health monitoring online.  ... 
arXiv:1903.10222v1 fatcat:qmqj3r4p4nfkvniq4bmprkmiiq

Enhanced Twitter Sentiment Analysis Using Hybrid Approach and by Accounting Local Contextual Semantic

Itisha Gupta, Nisheeth Joshi
2019 Journal of Intelligent Systems  
This paper addresses the problem of Twitter sentiment analysis through a hybrid approach in which SentiWordNet (SWN)-based feature vector acts as input to the classification model Support Vector Machine  ...  Experimental results show that the contextual-based SWN feature vector obtained through shift polarity approach alone led to an improved Twitter sentiment analysis system that outperforms the traditional  ...  Additionally, a model trained on one domain would not perform well on another domain.  ... 
doi:10.1515/jisys-2019-0106 fatcat:5mtmmiiaavgdzp44qrdu4vjsem

Over a Decade of Social Opinion Mining [article]

Keith Cortis, Brian Davis
2020 arXiv   pre-print
Social media popularity and importance is on the increase, due to people using it for various types of social interaction across multiple channels.  ...  These can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance  ...  learning method in their work; • [237] evaluated the most common ensemble methods that can be used for sentiment analysis on Twitter datasets; • [162] proposed an ensemble system composed on five state-of-the-art  ... 
arXiv:2012.03091v1 fatcat:bm5nydbdvbalzi33l3w2ivkdja

University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval

Richard Townsend, Aaron Kalair, Ojas Kulkarni, Rob Procter, Maria Liakata
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
We give a brief overview of our system, SentiAdaptron, a domain-sensitive and domain adaptable system for twitter analysis in tweets, and discuss performance on SemEval (in both the constrained and unconstrained  ...  scenarios), as well as implications arising from comparing the intra-and inter-domain performance on our twitter corpus.  ...  We thank our partners at CUSP, NYU for enabling us to use Amazon Mechanical Turk for this process.  ... 
doi:10.3115/v1/s14-2136 dblp:conf/semeval/TownsendKKPL14 fatcat:hv3uomuz7rgn5jdacopsb2sdfe
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