About: JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data
Creator	Das, Dipankar Garain, Avishek Kumar Mahata, Sainik
Source	ArXiv
abstract	Code-mixing is a phenomenon which arises mainly in multilingual societies. Multilingual people, who are well versed in their native languages and also English speakers, tend to code-mix using English-based phonetic typing and the insertion of anglicisms in their main language. This linguistic phenomenon poses a great challenge to conventional NLP domains such as Sentiment Analysis, Machine Translation, and Text Summarization, to name a few. In this work, we focus on working out a plausible solution to the domain of Code-Mixed Sentiment Analysis. This work was done as participation in the SemEval-2020 Sentimix Task, where we focused on the sentiment analysis of English-Hindi code-mixed sentences. our username for the submission was%22sainik.mahata%22and team name was%22JUNLP%22. We used feature extraction algorithms in conjunction with traditional machine learning algorithms such as SVR and Grid Search in an attempt to solve the task. Our approach garnered an f1-score of 66.2/% when tested using metrics prepared by the organizers of the task.
has issue date	2020-07-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	95cbde554f43865cd3f7c933d0630bb65765ba23
resource representing a document's title	JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data
resource representing a document's body	covid:95cbde554f43865cd3f7c933d0630bb65765ba23#body_text
is schema:about of	named entity 'Text' named entity 'participation' named entity 'versed' named entity 'This' named entity 'WORK' named entity 'ENGLISH' named entity 'TRADITIONAL' named entity 'ATTEMPT' named entity 'poses' named entity 'Sentiment Analysis' named entity 'great' named entity 'speakers' named entity 'solution' named entity 'sentiment analysis' named entity 'submission' named entity 'solve' named entity 'algorithms' named entity 'multilingual' named entity 'sentences' named entity 'SemEval' named entity 'sentiment analysis' named entity 'native languages' named entity 'traditional machine learning' named entity 'SemEval' named entity 'language diversity' named entity 'SemEval' named entity 'NLP' named entity 'Search algorithm' named entity 'tweets' named entity 'iid' named entity 'cross validation' named entity 'training data set' named entity 'Hinglish' named entity 'code-mixed' named entity 'social media' named entity 'feature vectors' named entity 'SemEval' named entity 'Hindi' named entity 'SVR' named entity 'hyperparameter' named entity 'Support Vector Regression' named entity 'hyperparameter' named entity 'bilingualism' named entity 'word embeddings' named entity 'hashtags' named entity 'Beam Search' named entity 'TF-IDF' named entity 'code-mixed' named entity 'Hindi' named entity 'traditional machine learning' named entity 'Support Vector Regression' named entity 'regex' named entity 'param' named entity 'Sentiment Analysis' named entity 'decision function' named entity 'Grid search' named entity 'word vectors' named entity 'hashtags' named entity 'feature extraction' named entity 'extracted features' named entity 'Neural Network' named entity 'training data' named entity 'Sentiment Analysis' named entity 'Cross-Validation' named entity 'Hindi' named entity 'NLP' named entity 'Hindi' named entity 'Bag-of-Words model' named entity 'Sentiment Analysis' named entity 'Benglish' named entity 'hashtags' named entity 'machine learning algorithms' named entity 'param' named entity 'semantic feature' named entity 'GloVe' named entity 'code-mixed' named entity 'Ellipsis' named entity 'code-mixing' named entity 'Twitter' named entity 'URLs' named entity 'parsing' named entity 'Grid Search' named entity 'hate speech' named entity 'sentiment analysis' named entity 'algorithm'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software