Category: ML
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NLP: Question Classification using Support Vector Machines [spacy][scikit-learn][pandas]
![NLP: Question Classification using Support Vector Machines [spacy][scikit-learn][pandas]](https://shirishkadam.files.wordpress.com/2017/07/adam_poster_mini.png?w=900)
Past couple of months I have been working on a Question Answering System and in my upcoming blog posts, I would like to share some things I learnt in the whole process. I haven’t reached to a satisfactory accuracy with the answers fetched by the system, but it is work in progress. Adam QAS on […]
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The Process of Information Retrieval
Originally posted on AMIT GUNJAL:
Information Retrieval (IR) is the activity of obtaining information from large collections of Information sources in response to a need. The working of Information Retrieval process is explained below The Process of Information Retrieval starts when a user creates any query into the system through some graphical interface provided. These… -
A Cognitive study of Lexicons in Natural Language Processing.
What are Lexicons ? A word in any language is made of a root or stem word and an affix. These affixes are usually governed by some rules called orthographic rules. These orthographic rules define the spelling rules for a word composition in Morphological Parsing phase. A lexicon is a list of such stem words and […]
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Naive Bayes Classifier in Python
Naive Bayes Classifier is probably the most widely used text classifier, it’s a supervised learning algorithm. It can be used to classify blog posts or news articles into different categories like sports, entertainment and so forth. It can be used to detect spam emails. But most important is that it’s widely implemented in Sentiment analysis. […]
Shirish Kadam 