Achyutha Prasad Narasimhaiah
Biographic Data
| ID | 10312249 |
|---|---|
| NAME | Achyutha Prasad Narasimhaiah |
| GIVEN NAMES | Achyutha Prasad |
| FAMILY NAME | Narasimhaiah |
| SIGNATURE | NARASIMHAIAH A P |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Survey on NLP based automatic extractive text summarization using spacy
Automatic abstraction of text is considered one of the most difficult problems because mathematically there is no real way to test a summary but one can distinguish between the appropriate summary. Also, abbreviations may be of a variety of abstractive forms in which new phrases and terms are used, in contrast Extractive form in which scoring sentences from enter textual content gets extracted as a summary sentence. The growing discovery of onlin…
Implementation of NLP based automatic text summarization using spacy
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we need a solution that converts this massive amount of raw information into useful information that the human brain can understand. One such common technique in research that helps when dealing with large amounts of data is text summarization. Automatic summarization is a well-known approach to reduce documents to key ideas. This works by storing impo…
A survey on blockchain security for cloud and IoT environment
In traditional Internet of Things (IoT) ecosystems, fog devices transmit data from sensors to a centralized cloud server. Issues with security and upkeep while updating firmware for millions of smart devices, single points of failure, as well as third-party Cloud server administration, the difficulty of frequently updating the firmware on millions of smart devices presents security and maintenance issues as well as a bottleneck in information flo…
No prominent works on this page.
Survey on NLP based automatic extractive text summarization using spacy
Automatic abstraction of text is considered one of the most difficult problems because mathematically there is no real way to test a summary but one can distinguish between the appropriate summary. Also, abbreviations may be of a variety of abstractive forms in which new phrases and terms are used, in contrast Extractive form in which scoring sentences from enter textual content gets extracted as a summary sentence. The growing discovery of onlin…
Implementation of NLP based automatic text summarization using spacy
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we need a solution that converts this massive amount of raw information into useful information that the human brain can understand. One such common technique in research that helps when dealing with large amounts of data is text summarization. Automatic summarization is a well-known approach to reduce documents to key ideas. This works by storing impo…
A survey on blockchain security for cloud and IoT environment
In traditional Internet of Things (IoT) ecosystems, fog devices transmit data from sensors to a centralized cloud server. Issues with security and upkeep while updating firmware for millions of smart devices, single points of failure, as well as third-party Cloud server administration, the difficulty of frequently updating the firmware on millions of smart devices presents security and maintenance issues as well as a bottleneck in information flo…
Computer Science (3 works) · Abstraction (2 works) · Advanced Text Analysis Techniques (2 works) · Artificial Intelligence (2 works) · Automatic summarization (2 works) · Information retrieval (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Sentence (2 works) · The Internet (2 works)