Develop a semantic textual similarity system using NLP technology

Hi Dear, Hope you are doing well !! I have gone through your project description. I can understand that you are looking for a semantic textual similarity system using NLP technology therefore I am looking forward to discuss and move ahead. placed bid cost is not the final one and will be finalize after discussion. Looking forward for your response. Thanks Sujit

I have +10 years of experience in Python programming. I have done many projects with NLTK, WordNet, crfsuit and I am familiar with NLP concepts. I think we can have a proper solution with parsing sentences and making their trees and use WordNet to substitute some nodes with other similar words. Do you have other approach in your mind? Thanks, Helmot

Hi sir, we are interested in your project. We can do this for sure. We have done many projects in past so this is not an issue at all. We are the preferred freelancer company as you can also check that on our profile. We can offer you 2 months free bug fix and support as a plus if you choose us. Work will be 100% according to you and you will be completely satisfied. Please provide us complete project details and we can start right away. We have a front office in UK and another office in Pakistan. Need the best guys for the job? Choose us.! Let us know what you think. Thanks.

hi there i have done similar system to relate different news together i can do this as well.

Hello, I like your project, I am software engineer and musician, I have over 18 years experience in application development,I have done works using "moses" translation software . I know quite well Wordnet and I advised thesis of artificial intelligence projects based on prolog. I am fan of robotics and artificial intelligence, I would love to participate in your project and I know that I would help you. I like to work under strict planning, finishing each of the phases of the project on schedule.

Hi, I am Sourabh Jain, I an experienced programmer. For quite some time, I am very keen to work on such a project which offers me exposure to knowledge representation AI. I am quite good at matrix computation, python and scientific computation in general. I went through NLTK, it is written in python, I think I can efficiently use nltk library. As I understand, a popular method is latent semantic analysis which uses Singular value decomposition (SVD) and then cosine is compared for two row vectors. I also understand that tools are based on finding least common subsumer with graph search. I am genuinely interested in the project and intend to make proactive efforts at various stages of development. If you like to discuss this further, I am always available. Regards Sourabh

Thank you for providing a clear description of your project. I am interested to learn more about the problem domain to see what kinds of natural language processing technologies would help. My experience in Semantic technology started in the late 1990's when the Resource Description Framework (RDF) was released. At the time, I was working for a multimedia company who was keen to use this technology for organizing videos and images. Our first customer was Universal Studios. Since then I have created solution architectures using Semantic technology to assist manufacturing clients in the Petrochemical and Oil & Gas industries. The primary goal for those projects has been to federate meta-data from multiple, disparate systems into a clear "single version of the truth." These systems use SPARQL, OWL, RDF, and other customized tools. I enjoy the challenges and opportunities that come with this type of project. I am located in Alberta, Canada and have worked with many clients across the globe. I am an expert in Semantic technologies and Natural Language concepts. I am a native English speaking freelancer and can bring creativity, dedication, and a wealth of experience in the computing industry to your project. The delivery for my bid has been set to 90 days as a precaution but can be reduced depending on the scope of the work. Thank you for your consideration. I'm hoping we can talk further about the goals of the project, feel free to contact me. Best regards, Jay

Hi, Hope, you are doing good. I found your job post and i am interested in your project. I as a focal person of Techinn Global want to introduce with my company. Our company provides services of Full Time dedicated developers. We have a pool of dedicated developers who works directly with clients. We have very talented and senior developers who have more than 5 years experience in Web Applications. So having such skill set, we are the right choice for you for this particular job. I myself has technical knowledge in NLP development and I studied such advanc elevel subjets in my Master and PhD level studies.

Hello, i have a some expirience work on big NLP project for automatical analising disordered text flow - for example, trading advertising, law, science information etc. This software base on learning and self-learning wordbooks and show on some task 90-95% right results. May be, You can use this expirience in Your proect?

I befit this project as i have been exploring NLP tasks related to POS tagging, Sentiment analysis and semantic similarity. I am aware of word net and i can visualize on how the processing of semantic similarity can be approached.

A proposal has not yet been provided

A proposal has not yet been provided

Working in the field of insurance and retail analytics from past 4.3 years and 2 years of additional research experience. Expertise in healthcare insurance, life and motor insurance of US and Asia region after working in two big companies related to insurance. I have worked on projects in US, France and Hong Kong. Worked in 3 big consulting companies and I have built solutions implemented in real time scenarios and earned $2-3 million. Solution predicted the market distribution is US healthcare industry among competitors in a particular area. Built a solution which uses social media data, demographic, image verification and website plagiarism to counter fraud in insurance industry. Solution received an award in top 50 Innovative solutions in NASSCOM. Text mining solution using combination of LDA, Gibbs, english grammar logic, text blog noun classification algorithm and sentiment analysis which tells a user answer "Why" (its happening), "What" (what is the cause) and "When" (when it happened). Algorithm has been tested on US, Europe demographics and its converting the unstructured data to structure data and provide the answers smoothly. There are many other solutions- Risk Indicators, Lapse, Acquisition, CLTV, Market Basket, Apriori, Graph & Heuristic Search Algorithms, Counter Fraud Solutions, Admission Readmission, Time series forecasting, Customer targeting, social media network analysis,medicare growth model, game theory, time zero ltv models, retention model, online b

I have 4+ years of experience in Machine Learning Research Scholar ( Machine learning, Data Mining, Natural Language processing) Indian Institute of Science, Bangalore Master degree holder in Computer Science with specialization in Machine Learning. Regular contestant of machine learning competition/challenge platform Kaggle and crowdanalytix & top ranked. Independently worked on many machine learning projects mainly in recommendation system, Forecasting, text mining, web mining, predictive modeling, Association mining, Natural Language Processing, Information Retrieval, Image Processing. Machine learning language and tool having expertise in Matlab, R, Python, Java, Weka, Mahout, Hadoop, Hive, Hbase