NLP, Taxonomy, Sentiment Analysis using RSS Feeds and Twitter Data
$30-250 USD
Bezahlt bei Lieferung
Needed someone to create an algorithm for NLP (Natural Language Processing), to automate the creation of Taxonomy and to process keywords for Sentiment Analysis.
Skills needed: Knowledge of JAVA, the Hadoop environment, MapReduce, Flume, HDFS, Data Sources are Twitter and RSS Feeds for Big Data Analysis.
The project requires completion of the following:
(1) Algorithm for NLP using JAVA
(2) Taxonomy creation
(3) Sentiment Analysis
These three needs to be connected. Here are some resources:
(1) http://research.microsoft.com/pubs/166228/BRT_KeywordTaxonomy_new.pdf
(2) http://nlp.stanford.edu/software/corenlp.shtml#sentiment
(3) http://nlp.stanford.edu:8080/corenlp/
(4) http://nlp.stanford.edu/software/relationExtractor.shtml
(5) http://www.nltk.org
(6) http://en.wikipedia.org/wiki/Natural_language_processing
*Brief Explanation of Taxonomy*
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.41.7834&rep=rep1&type=pdf
Projekt-ID: #7097676
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