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Development of an auto-summarization tool
Posted Date: 18 Mar 2008 Resource Type: Articles/Knowledge Sharing Category: General
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Posted By: Aparanjitha Member Level: Gold
Rating:  Points: 5
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Title of the project
Development of an auto-summarization tool
Abstract of the project
Auto-summarization is a technique used to generate summaries of electronic documents. This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistical ones operate by finding the important sentences using statistical methods (like frequency of a particular word etc). Statistical summarizers normally do not use any linguistic information.
In this project, an auto-summarization tool is developed using statistical techniques. The techniques involve finding the frequency of words, scoring the sentences, ranking the sentences etc. The summary is obtained by selecting a particular number of sentences (specified by the user) from the top of the list. It operates on a single document (but can be made to work on multiple documents by choosing proper algorithms for integration) and provides a summary of the document. The size of the summary can be specified by the user when invoking the tool. Pre-processing interfaces are there to handle the following document types: Plain Text, HTML, Word Document.
Keywords
Generic Technlogy keywords : Algorithm, Programming
Specific Technology keywords :C, C++, Java, C-Sharp
Project type keywords :Statistics, User Interface
Functional components of the project
Following is a list of the functional components of the tool.
1. Text pre-processor. This will work on the HTML or Word Documents and convert them to plain text for processing by the rest of the system.
2. Sentence separator. This goes through the document and separates the sentences based on some rules (like a sentence ending is determined by a dot and a space etc). Any other appropriate criteria might also be added to separate the sentences.
3. Word separator. This separates the words based on some criteria (like a space denotes the end of a word etc).
4. Stop-words eliminator. This eliminates the regular English words like ‘a, an, the, of, from..’ etc for further processing. These words are known as ‘stop-words’. A list of applicable stop-words for English is available on the Internet.
5. Word-frequency calculator. This calculates the number of times a word appears in the document (stop-words have been eliminated earlier itself and will not figure in this calculation) and also the number of sentences that word appears in the document. For example, the word ‘Unix’ may appear a total of 100 times in a document, and in 80 sentences. (Some sentences might have more than one occurrence of the word). Some min-max thresholds can be set for the frequencies (the thresholds to be determined by trial-and-error)
6. Scoring algorithm. This algorithm determines the score of each sentence. Several possibilities exist. The score can be made to be proportional to the sum of frequencies of the different words comprising the sentence (ie, if a sentence has 3 words A, B and C, then the score is proportional the sum of how many times A, B and C have occurred in the document). The score can also be made to be inversely proportional to the number of sentences in which the words in the sentence appear in the document. Likewise, many such heuristic rules can be applied to score the sentences.
7. Ranking. The sentences will be ranked according to the scores. Any other criteria like the position of a sentence in the document can be used to control the ranking. For example, even though the scores are high, we would not put consecutive sentences together.
8. Summarizing. Based on the user input on the size of the summary, the sentences will be picked from the ranked list and concatenated. The resulting summary file could be stored with a name like _summary.txt.
9. User Interface. The tool could use a GUI or a plain command-line interface. In either case, it should have easy and intuitive ways of getting the input from the user (the document, the size of the summary needed etc).
Steps to start-off the project
The following steps will be helpful to start off the project.
1. Study about auto-summarizing techniques (some references are given in the references section of this document) and concentrate more on summarizers based on statistical techniques.
2. Collect the list of stop-words from an Internet site.
3. Come up with algorithms for the different functional components listed in the previous section. Some heuristic methods could be used to come up with modification of any existing algorithm.
4. Implement the pre-processor/sentence separator/word separator/word frequency calculator. These do not require much work on the algorithm side and existing algorithms will do fine.
5. Implement the scoring and ranking component.
6. Test it with some documents and tune the algorithms, if needed.
7. Bench-mark your tool against some tools available on the Internet (like www.copernic.com).
Requirements
Hardware requirements
Number Description Alternatives (If available)
1 PC with 2 GB hard-disk
and 256 MB RAM Not-Applicable
Software requirements
Number Description Alternatives (If available)
1 Windows 95/98/XP
with MS-office Not Applicable
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Responses
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| Author: Deepu 19 Mar 2008 | Member Level: Diamond Points : 2 | Its pretty difficult for me to understand this concept.But any way i'll try to read each and every line.Any way Nice work done by you.
| | Author: Aparanjitha 19 Mar 2008 | Member Level: Gold Points : 2 | thanks for ur suggestions and encouragement keep on reading my resoucres and give me some more advises .. Thank you.Next time i will try to give you the documentation that u can understand
| | Author: Deepu 19 Mar 2008 | Member Level: Diamond Points : 3 | Sure,I will go on reading your postings.If you go on accepting my advices i will give more advises for your development in the site.Keep going.But just keep in mind that your postings are going to be read by hundreds of people throughout the world.
| | Author: Aparanjitha 19 Mar 2008 | Member Level: Gold Points : 2 | thnx for your reply to my msg. i mine it that my postings will be read by hundreds of people . so im sure that i will place good resources
| | Author: reenu 04 Aug 2008 | Member Level: Bronze Points : 0 | hi.I think its a great concept but difficult to realize!!! I liked it.Great Job....
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