VIJAY YADAV

N-gram is an N sequence of words. It can be a unigram (one word), bigram (sequence of two words), trigram (sequence of three words), and so ...

  It is difficult to perform analysis on the text so we use word embedding techniques to convert the texts into numerical representation. Th...

Confusion matrix is an important metric to evaluate the performance of classifier. The performance of a classifier depends on their capabil...

  LSA (Latent Semantic Analysis) is another technique used for topic modeling. The main concept behind topic modeling is that the meaning be...

  In traditional neural networks, inputs and outputs were independent of each other. To predict next word in a sentence, it is difficult for...

  Topic modeling is an unsupervised technique as it is used to perform analysis on text data having no label attached to it. As the name sug...

  Lack of availability of enough domain-specific dataset Multi-class classification of the data Difficult to extract the context of the post...

List of libraries required to be installed (if not already installed). Here installation is done through Jupyter Notebook. For terminal use ...

We will scrap the data of wikipedia using a single line of code in python. No extra libraries are required. Only Pandas can do the job. Step...

Word cloud is a data visualization tool in data science. It is very efficient to visualize various words in a text according to the quantum ...

Introduction This project visualizes the Covid-19 data (i.e. Total cases, Deaths and Recoveries) across various Provinces and Districts of N...