Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dinesh Kumar Prabhakar"'
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 20:1-34
With Web 2.0, there has been exponential growth in the number of Web users and the volume of Web content. Most of these users are not only consumers of the information but also generators of it. People express themselves here in colloquial languages,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4ac26063a466395e7a515d216574ee
https://doi.org/10.1145/3447649
https://doi.org/10.1145/3447649
Autor:
Sukomal Pal, Dinesh Kumar Prabhakar
Publikováno v:
Sādhanā. 43
Users of the WWW across the globe are increasing rapidly. According to Internet live stats there are more than 3 billion Internet users worldwide today and the number of non-English native speakers is quite high there. A large proportion of these non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5c3dd40f5dc929a38a93dd6fba934b
https://doi.org/10.1007/s12046-018-0828-8
https://doi.org/10.1007/s12046-018-0828-8
Publikováno v:
IC3
This paper presents a proposed work for extracting the sentiments from tweets in Indian Language. We proposed a system that deal with the goal to extract the sentiments from Bengali & Tamil tweets. Our aim is to classify a given Bengali or Tamil twee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbc5a24dadddac83071162481c29a66
https://doi.org/10.1109/ic3.2016.7880246
https://doi.org/10.1109/ic3.2016.7880246
Publikováno v:
FIRE
This paper describes the approaches we have adopted to identify the classes of named entities and annotate them with proper tags. Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify the entity names
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c88f98ea621ded468b0a62dc79298354
https://doi.org/10.1145/2824864.2824881
https://doi.org/10.1145/2824864.2824881
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783319268316
MIKE
MIKE
This paper describes the system we used for Shared Task on Sentiment Analysis in Indian Languages SAIL Tweets, at MIKE-2015. Twitter is one of the most popular platform which allows users to share their opinion in the form of tweets. Since it restric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb112151c9c698f2f17658df6403e97d
https://doi.org/10.1007/978-3-319-26832-3_62
https://doi.org/10.1007/978-3-319-26832-3_62
Autor:
Sukomal Pal, Dinesh Kumar Prabhakar
Publikováno v:
FIRE
This paper describe approaches we used for the Shared Task on Transliterated Search in FIRE-2014. The approaches solve identification of native languages of given terms/words and their labeling. MaxEnt a supervised classifier is used for the classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ec086bc3c5d0be39cdb0d9a7bdb67f
https://doi.org/10.1145/2824864.2824880
https://doi.org/10.1145/2824864.2824880
Autor:
Sukomal Pal, Dinesh Kumar Prabhakar
Publikováno v:
FIRE
This paper describes the approach we adopted during official submission of FIRE-2013 Shared Task on Transliterated Search along with few other approaches that we experimented post-submission. The techniques solve the problem of language labeling, by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ea0cce73cd2f806fb3897821e0e5c1a
https://doi.org/10.1145/2701336.2701649
https://doi.org/10.1145/2701336.2701649