Genetic Algorithm (GA) Genetic Algorithm is one of the nature inspired algorithm which works on Darwins theory of survival of fittest. The key operators that we have in Genetic Algorithms are These three operators also forms the basis reproduction and subsequent workings in natural process be it be in human biology or in botony andContinue reading “Genetic Algorithm for Information Retrieval (Python): Introduction”
Category Archives: AI
80000 tested Google Bard, but what were results? Why it was prematurely released?
#AI #ProjectManagement Google leaders says 80,000 google employees tested Google AI Bard. But then what were results ? What was recall and precision? And if it was bad why was it released to use as a full fledged product? Why warnings are laid out now, that it wont work well? As now you know itContinue reading “80000 tested Google Bard, but what were results? Why it was prematurely released?”
BLOOM: Language Model — Research Paper Review
Key Important Points are given here of the biggest open-source Language Model till now- BLOOM 1) A 176B-Parameter Open-Access Multilingual Language Model. 2) Aim is public release of Large Language Model 3) Pretrained models are popular since they provide better results from small labelled data. 4) No prior LLM was publicly released making BLOOM theContinue reading “BLOOM: Language Model — Research Paper Review”
1-3 Information Retrieval Paper Reviews- Key Points
Sentiment-oriented information retrieval (Bisio et al) (2016) A new fuzzy logic based ranking function for efficient information retrieval system (Gupta et al) (2015) An enhanced multi-view fuzzy information retrieval model based on linguistics (Attia et al) (2014) References
Sentiment-Oriented Retrieval on Climate Textual Data
#AI, #ArtificialIntelligence #NLP Sentiment oriented Retrieval/ Opinionated Retrievals In this article we apply the skills of sentiment analysis on the climate corpus we collected sometime back. Question: Why do we need to do this? Answer: Once we get documents and text fragments with high positive sentiment and high negative sentiment scores, we get a kindContinue reading “Sentiment-Oriented Retrieval on Climate Textual Data”
Sentiment Analysis with SentiWordNet- Part II
#AI, #ArtificialIntelligence #NLP This article is an application of sentiwordnet lexical database. In last article I provided with the code to access the sentiment, here are some more details on sentiwordnet with examples. Sentiwordnet is a nice database for looking up to sentiment of a word given its POS tag. So you can look upContinue reading “Sentiment Analysis with SentiWordNet- Part II”
Sentiment Analysis with Python- SentiWordNet
Here is a code for sentiment analysis explained with sentiwordnet. The code is here for determining the sentiment analysis of a sentence. I have used this on the climate dataset with me. And found the most positive sentiment-oriented documents and most negatively oriented documents, also the most lengthy documents too. Here is a simple codeContinue reading “Sentiment Analysis with Python- SentiWordNet”
Word2vec and the distance between words based on it
This is a short article to show how the distance between words can be computed using word2vec. I often follow deep theoretical and large practical articles with small articles covering basics. Even basics are important and hence here today is a small article on how to compute the distance between words with help of word2vec.Continue reading “Word2vec and the distance between words based on it”
Predicting Preferred Working Hours with RNN GRU
In this article, we propose to predict the preferred working hours by individuals based on the present inputs provided. Why this is required? As the work is preset and work goals are made based on resource predictions. Employees are resources of an organization and if we accumulate current phenomena with time we can predict wellContinue reading “Predicting Preferred Working Hours with RNN GRU”
Fuzzy Rough Set based Evaluations of Summaries
Note: This same article appears in my median.com account as well #AI-EXERCISE #RESEARCH-Excercise This short article lays emphasis on how to evaluate summaries produced from Text Summarization. The toolkit used here is Fuzzy Rough sets. The reference summary and the system summary are evaluated and compared for similarity using Fuzzy Rough Set based lower similarityContinue reading “Fuzzy Rough Set based Evaluations of Summaries”
Artificial Intelligence, Computer Science & Mathematics 