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open Graph Image
photo
open Graph Image
photo
is In Organization
No
is In Organization
Yes
description
We have used 250 sentences of movie reviews available for research from IIT bombay and also crawled and manually annotated 750 reviews from jagran.com, In total 1000 reviews. After preprocessing the dataset, We generate the featureset as a vector-based approach using Term frequency, tfidf for unigrams and bigrams. Then we used three approaches to predict the sentiment of a review. Approaches used are Resource based, In-language semantic analysis and Machine Translation based semantic analysis.
description
🥚 Born to build better enterprise frameworks and apps with Node.js & Koa
homepage
homepage
https://eggjs.org
url
https://githubhelp/tejas4888/sentiment-analysis-on-hindi-reviews
url
https://githubhelp/eggjs/egg
disk Usage
3472
dis kUsage
10190
stargazer Count
0
stargazer Count
18870
forkCount
0
forkCount
1813
watcher Count
0
watcher Count
18870
created At
2019-04-05
created At
2016-06-18
license Info
license Info
MIT License
issues
0
issues
50
languages
1
languages
4
repository Topics
0
repository Topics
9
owner
tejas4888
owner
eggjs
owner Avatar
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owner Avatar
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other
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