M
Manisha Sharma
Researcher at Banasthali Vidyapith
Publications - 14
Citations - 323
Manisha Sharma is an academic researcher from Banasthali Vidyapith. The author has contributed to research in topics: Sentiment analysis & Social media. The author has an hindex of 6, co-authored 14 publications receiving 181 citations.
Papers
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Spam detection in social media using convolutional and long short term memory neural network
TL;DR: A novel deep learning architecture based on Convolutional Neural Network (CNN) and Long Short Term Neural network (LSTM) is proposed that is supported by introducing the semantic information in representation of the words with the help of knowledge-bases such as WordNet and ConceptNet.
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Optimizing semantic LSTM for spam detection
TL;DR: The evaluation of the results shows that LSTM is able to outperform traditional machine learning methods for detection of spam with a considerable margin.
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Spam Detection on Social Media Using Semantic Convolutional Neural Network
TL;DR: How spam detection in the social media text is becoming increasing important because of the exponential increase in the spam volume over the network is described.
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Opinion target extraction with sentiment analysis
TL;DR: This paper proposes a novel method of extracting aspects using ontology and further categorizing these sentiments into positive, negative and neutral category using supervised leaning technique and efficiency is evaluated using information retrieval search strategies.
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A Novel Approach for Crawling the Opinions from World Wide Web
TL;DR: The present work focuses on the design and implementation of an Opinion Crawler which downloads the opinions from various sites thereby, ignoring rest of the web and takes real data sets that prove to be much more accurate in terms of precision and recall quality attributes.