Immigration is one of the most important topics in the present time. World hasn’t witnessed such phenomenal influx of immigrants into developed countries in the past. Presently it is one of the most debated topics by the politicians and experts. We see the social media and the rest of the internet flooded with this word. Hence, we decided to analyze the articles and tweets related to this topic. The goal of the assignment is aggregate data related to immigration from New York Times, Twitter and various other website with the help of common crawl, furthermore we will use classical big data method of MapReduce to the unstructured data collected and generate visualization.
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Immigration is one of the most important topics in the present time. World hasn’t witnessed such phenomenal influx of immigrants into developed countries in the past. Presently it is one of the most debated topics by the politicians and experts. We see the social media and the rest of the internet flooded with this word. Hence, we decided to ana…
abhishekh05/Text-mining-and-Data-Mining-using-Hadoop-Frame-work
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Immigration is one of the most important topics in the present time. World hasn’t witnessed such phenomenal influx of immigrants into developed countries in the past. Presently it is one of the most debated topics by the politicians and experts. We see the social media and the rest of the internet flooded with this word. Hence, we decided to ana…
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