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Opinion Ranking based on Lists in Search Engines

Waleed A. Almutairi1
1. Computer Research Institute. King Abdulaziz City for Science and Technology (KACST) Riyadh, Saudi Arabia
Abstract— Search engines have improved gradually for the last few years. The Artificial Intelligence (AI) field has played a big role in this area. The Internet has a lot of raw and informative data. Most popular search engines try to identify and understand the connection between those data and make it useful. In this paper, I propose an AI technique to classify and add some ranking and scoring to the listing phrases across the documents that have the same key-phrase. If the document has a listing like 1, 2, 3… or A, B, C… or I, II, III, or bullet points and so on. The inverted index will have the keys with their lists plus their scores as a phrase. When we search for a key that has a listing in it, the query will search for the key for matches through the index. Then we will get the results organized by their Ranking.

Index Terms— Information Extraction; AI; Listing; Ordering; Classification; Pattern recognition; Named Entity.

Cite: Waleed A. Almutairi, " Opinion Ranking based on Lists in Search Engines, Vol. 5, No. 3, pp. 71-73, August, 2014.doi: doi:10.4304/jait.5.3.71-73
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