nlp - Crawl ~50 websites looking for key words (climate) using TF-IDF -


"fighting climate change - words?"

i come linguistics + stats side , not computer science/programming side of things, please patient me , thank you!

i'm working on research project involves expending lot of time , energy looking @ ~ 50 different websites 2-3 times week find out new developments in energy sector/climate change, don't miss news (before changed or deleted) , want save , not miss files of interest.

for there laughable set-up of bookmarks. i'd make work easier, if possible, crawling these websites (every day best) looking changes , in particular looking keywords either on (the relevant sections of) website or within posted documents themselves.

in regards documents going employ algorithms (or simple variations) tf-idf (term frequency - inverse document frequency) , df-icf (document frequency - inverse corpus frequency) , compare language used (comparative analysis of corpora) on time , "seasons" (e.g. political changes).

tldr: need simplifying gathering of data ~50 websites looking keywords e.g. crawling.

thank you!

this interesting question, although there several different subjects address.

1- crawler: app crawl pre-defined urls in search content. can complex project self because may want search specific key-words or bring content site , filter result in form of report containing news example...

2- using text retrieval model (trm) search documents containing specific works, search query. before attempt suggest to, recommend watch videos of this course, teaches nowadays available trms, , pos , cons.

in nutshell, build crawler (in java) , use bm25 matured trm select documents. on search, build report generator, based on content provided mentioned sources. details of how-to-do these part because have no knowledge climate change, figure out. concerning crawler bring results, suggest following set of technologies , apis ( build several )...

1-build maven java project

2-add lucene dependencies in pom.xml. recommend version 5.5.4.

3-in lucene's search provides several possibilities trms. this 5 min tutotial can implement in java. use bm25 similarity mechanism, this:

searcher.setsimilarity(new bm25similarity(bm25parameterk, bm25parameterb)); config.setsimilarity(new bm25similarity(bm25parameterk, bm25parameterb));

where bm25parameterk , bm25parameterb parameters bm25 search. if want use default ( 1.20 , 0.75 ), set bm25similarity this:

searcher.setsimilarity(new bm25similarity()); config.setsimilarity(new bm25similarity());

there other trms performs equally when compared bm25 pivoted length normalization, query likelihood , pl2, implementations yet unavailable, long aware of. hope have helped you.


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