Dr Atul Kumar | Uttar Pradesh Technical University (original) (raw)
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There are a lot of text available on the internet so it is very difficult to extract important in... more There are a lot of text available on the internet so it is very difficult to extract important information from large available text. Text summarization is a process of converting large information into smaller one by keeping all important points. Text Summarization involves two steps Text Pre-Processing and Processing. In this proposed paper we are going to discuss the different steps involved in Text Pre-Processing of Hindi Language and then we will find out the Pre-Processing time of given Hindi data set and then we will compare the Pre-Processing time of different sizes of datasets.
The sentiment is an attitude or opinion that is expressed, it is not based on laws and philosophy... more The sentiment is an attitude or opinion that is expressed, it is not based on laws and philosophy. Sentiment analysis is the mining of opinion or sentiment expressed in text as positive, negative or neutral sentiment. Detecting sarcasm is the main hurdle in sentiment analysis. Sarcasm can be expressed in various forms like in conversation, heading or title of the novel. As Sarcasm represents contrary sentiment to the literal meaning that is conveyed in the text, it is hard to identify sarcasm even for a human. This paper presents a study on sentiment analysis. The datasets, feature engineering, and algorithm used in previous models for sarcasm detection. The study proves that Support vector machine (SVM) is the finest approach for sarcasm detection, feature engineering is an import assent in training a model and as News Headline dataset is written by professionals, it is the most suitable data set to work on.
In the past decades computer network have kept up growing in size, complexity and along with it t... more In the past decades computer network have kept up growing in size, complexity and along with it the
number of its user is also being increased day by day. Hence the amount of network traffic flowing at each
node has increased drastically. So to keep a track on these nodes a packet sniffer is used. Sometimes a
packet sniffer is called a network monitor or network analyzer. Many system administrator or network
administrator use it for monitoring and troubleshooting network traffic. Packet sniffers are useful for both
wired and wireless networks. The purpose of this paper is to show the basics of packet sniffer, how it works
in both switched and non switched environment, its practical approach, its positive vs negative aspects and
its safe guards.
There are a lot of text available on the internet so it is very difficult to extract important in... more There are a lot of text available on the internet so it is very difficult to extract important information from large available text. Text summarization is a process of converting large information into smaller one by keeping all important points. Text Summarization involves two steps Text Pre-Processing and Processing. In this proposed paper we are going to discuss the different steps involved in Text Pre-Processing of Hindi Language and then we will find out the Pre-Processing time of given Hindi data set and then we will compare the Pre-Processing time of different sizes of datasets.
The sentiment is an attitude or opinion that is expressed, it is not based on laws and philosophy... more The sentiment is an attitude or opinion that is expressed, it is not based on laws and philosophy. Sentiment analysis is the mining of opinion or sentiment expressed in text as positive, negative or neutral sentiment. Detecting sarcasm is the main hurdle in sentiment analysis. Sarcasm can be expressed in various forms like in conversation, heading or title of the novel. As Sarcasm represents contrary sentiment to the literal meaning that is conveyed in the text, it is hard to identify sarcasm even for a human. This paper presents a study on sentiment analysis. The datasets, feature engineering, and algorithm used in previous models for sarcasm detection. The study proves that Support vector machine (SVM) is the finest approach for sarcasm detection, feature engineering is an import assent in training a model and as News Headline dataset is written by professionals, it is the most suitable data set to work on.
In the past decades computer network have kept up growing in size, complexity and along with it t... more In the past decades computer network have kept up growing in size, complexity and along with it the
number of its user is also being increased day by day. Hence the amount of network traffic flowing at each
node has increased drastically. So to keep a track on these nodes a packet sniffer is used. Sometimes a
packet sniffer is called a network monitor or network analyzer. Many system administrator or network
administrator use it for monitoring and troubleshooting network traffic. Packet sniffers are useful for both
wired and wireless networks. The purpose of this paper is to show the basics of packet sniffer, how it works
in both switched and non switched environment, its practical approach, its positive vs negative aspects and
its safe guards.