keyword-search

keyword extraction by using KEA or other python library

由 筅森魡賤 提交于 2020-01-24 22:51:46
问题 I am now working for a keyword extraction project. Basically, I use python to do that. Let me talk about what my project is first. My goal in this project is going to find out the key word (key-phrase is not that preferable) from a paragraph or a webpage. I assume that I can crawl a pretty well structure of content from a website. Let say I got lots of paragraph and all the paragraph are from the same industry. Here is one of the example paragraph: About us We are the greatest bank in the

Keyword search between two DataFrames using python pandas

由 喜夏-厌秋 提交于 2020-01-06 06:09:22
问题 Hi I have two DataFrames like below DF1 Alpha | Numeric | Special and, or | 1,2,3,4,5| @,$,& and DF2 with single column Content | boy or girl | school @ morn| I want to search if anyone of the column in DF1 has anyone of the keyword in content column of DF2 and the output should be in a new DF output_DF output_column| Alpha | Special | someone help me with this 回答1: Solution is s bit complicated, because for multiple match (row 2) need only matched first column df1 : df1 = pd.DataFrame({

Sort sql result by occurence of a set of keywords

由 柔情痞子 提交于 2020-01-06 02:45:51
问题 I'm trying to do a little search engine for my website. First of all, user type in some keywords and go to result page that use this code : $result = array(); $keyword_tokens = explode(' ', $keywords); $keyword_tokens = array_map( function($keywords) { return mysql_real_escape_string(trim($keywords)); }, $keyword_tokens ); $sql = "SELECT * FROM search_table WHERE concat(title, description) LIKE '%"; $sql .= implode("%' OR concat(title, description) LIKE '%", $keyword_tokens) . "%' ORDER BY

php search engine key words ranking

由 ⅰ亾dé卋堺 提交于 2019-12-23 06:08:19
问题 I am new to php and mysql. In my project I have to develop search engine for multiple keywords on multiple columns and also require the keyword ranking and relevency. For example if I have three words hi, hello, hey and want to search on fields like subject, message, reference, textbody. in this case the row who has more keywords ranking will come first and lowest ranker row goes last. will any one guide me how to implement such search engine. my database is about 4 million and is growing

Keyword to SQL search

由 橙三吉。 提交于 2019-12-18 04:28:04
问题 Use Case When a user goes to my website, they will be confronted with a search box much like SO. They can search for results using plan text. ".net questions", "closed questions", ".net and java", etc.. The search will function a bit different that SO, in that it will try to as much as possible of the schema of the database rather than a straight fulltext search. So ".net questions" will only search for .net questions as opposed to .net answers (probably not applicable to SO case, just an

matching similar elements in between two lists

由 瘦欲@ 提交于 2019-12-12 18:44:25
问题 I'm new to python so apologies if its a silly question. I have two lists L1=['marvel','audi','mercedez','honda'] and L2=['marvel comics','bmw','mercedez benz','audi'] . I want to extract matching elements which contains in list L2 matched with list L1 . So what I done : for i in L1: for j in L2: if j in i: print (j) output is ['audi'] But, I also wants to return elements if its also consist any word match like mercedez in mercedez benz and marvel in marvel comics . so final output would be: j

Use Google AdWords API with PHP to get keyword CPC and monthly search volume

由 荒凉一梦 提交于 2019-12-10 10:37:31
问题 I want to use Google AdWords API to get monthly search volume and CPC for some keywords with PHP . The API itself made me so confused, and the more I read documentations and forum threads and questions and answers, the more confused I got. Can anyone please explain how it works to me in a really really simple way, and tell me how to make it up and running step by step ? Thanks in advance. 回答1: Yes, here is an example file to get a list of keywords and volume. https://github.com/googleads

Fast keyword extraction in elasticsearch

由 给你一囗甜甜゛ 提交于 2019-12-08 01:01:07
问题 I have large database of annotations of images stored in an elasticsearch database. I want to use this database for keyword extraction. Input is text (typically a newspaper article). My basic idea for an algorithm is to go through each term from the article and use elasticsearch to discover how frequent the term is in the image annotations. Then output terms from articles which are not frequent (in order to prefer names of people or places over common English words). I don't need something

Relevance of document to multiple keywords

由 你。 提交于 2019-12-07 16:26:15
问题 Suppose D is a textual document, and K = < k1, ..., kN > represents a set of terms contained in the document. For instance: D = "What a wonderful day, isn't it?" K = <"wonderful","day"> My objective is to see if document D talks about all the words in K as a whole. For instance: D = "The Ebola in Africa is spreading at high speed" K = <"Ebola","Africa"> is a case in which D is strongly related to K , while: D = "NEWS 1: Ebola is a dangerous disease that is causing thousands of deaths. Many

Fast keyword extraction in elasticsearch

由 瘦欲@ 提交于 2019-12-06 11:27:42
I have large database of annotations of images stored in an elasticsearch database. I want to use this database for keyword extraction. Input is text (typically a newspaper article). My basic idea for an algorithm is to go through each term from the article and use elasticsearch to discover how frequent the term is in the image annotations. Then output terms from articles which are not frequent (in order to prefer names of people or places over common English words). I don't need something very sophisticated, these keywords are used just as suggestion for user input, but I want something
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