Topic Modeling: Working of LDA (Latent Dirichlet Allocation) in simple terms

 Topic modeling is an unsupervised method used to perform text analysis. When we are given large sets of unlabeled documents, it is very difficult to get an insight into the discussions upon which the documents are based upon. Here comes the role of topic modeling. It helps to identify a number of hidden topics within a set of documents. Based on those identified topics,...

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Topic Modeling

 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 suggests, it is used to discover a number of topics within the given sets of text like tweets, books, articles, and so on. Each topic consists of words where the order of the words does not matter. It performs automatic clustering of...

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Challenges of Sentiment analysis

 Lack of availability of enough domain-specific datasetMulti-class classification of the dataDifficult to extract the context of the post made by the usersHandling of neutral postsAnalyzing the posts of multiple langua...

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Visualizing Decision tree in Python (with codes included)

List of libraries required to be installed (if not already installed). Here installation is done through Jupyter Notebook. For terminal use only "pip install library-name".#import sys#!{sys.executable} -m pip install numpy#!{sys.executable} -m pip install pandas#!{sys.executable} -m pip install sklearn#!{sys.executable} -m pip install hvplot#!{sys.executable} -m pip install...

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Build a colorful Word Cloud in python using mask image

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 of their repetition within the text. The stopwords have been ignored while visualization. A text file called "skill.txt" has been used to visualize. Mask image of map of Nepal has been used to visualize the word cloud.The libraries required...

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Covid-19 Data Visualization across the World using Choropleth map

IntroductionThis project visualizes the Covid-19 data (i.e. Total cases, Deaths and Recoveries) across various Provinces and Districts of Nepal as of 12th August, 2020. Geojson file of Nepal's states and districts have been used. Also python library i.e. Folium has been used to generate Choropleth map whose geo_data value is the geojson of Nepal.The libraries imported are:Data...

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Covid-19 Data Visualization of Nepal using Choropleth map

IntroductionThis project visualizes the Covid-19 data (i.e. Total cases, Deaths and Recoveries) across various Provinces and Districts of Nepal as of 9th August, 2020. Geojson file of Nepal's states and districts have been used. Also python library i.e. Folium has been used to generate Choropleth map whose geo_data value is the geojson of Nepal.The libraries imported are:Data...

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