topic, can you gauge the mood of the country by looking at the sentiment of That’s McKinsey & Co. "StringDRC = StringDRC.replace('\\u3000', '')\n", "StringDRC = StringDRC.replace('-', '') # also remove the dashes used to seperate chapters", "'\u7b2c\u4e00\u56de\u7504\u58eb\u96b1\u5922\u5e7b\u8b58\u901a\u9748\u8cc8\u96e8\u6751\u98a8\u5875\u6000\u95a8\u79c0\u6b64\u958b\u5377\u7b2c\u4e00\u56de\u4e5f\uff0e\u4f5c\u8005\u81ea\u4e91\uff1a\u56e0\u66fe\u6b77\u904e\u4e00\u756a\u5922\u5e7b\u4e4b\u540e\uff0c\u6545\u5c07\u771f\u4e8b\u96b1\u53bb\uff0c\u800c\u501f\"\u901a\u9748\"\u4e4b\u8aaa\uff0c\u64b0\u6b64\u300a\u77f3\u982d\u8a18\u300b\u4e00\u66f8\u4e5f\uff0e\u6545\u66f0\"\u7504\u58eb\u96b1\"\u4e91\u4e91\uff0e\u4f46\u66f8\u4e2d\u6240\u8a18\u4f55\u4e8b\u4f55\u4eba\uff1f\u81ea\u53c8\u4e91\uff1a\u201c\u4eca\u98a8\u5875\u788c\u788c\uff0c\u4e00\u4e8b\u7121\u6210\uff0c\u5ffd\u5ff5\u53ca\u7576\u65e5\u6240\u6709\u4e4b\u5973\u5b50\uff0c\u4e00\u4e00\u7d30\u8003\u8f03\u53bb\uff0c\u89ba\u5176\u884c\u6b62\u898b\u8b58\uff0c\u7686\u51fa\u4e8e\u6211\u4e4b\u4e0a\uff0e\u4f55\u6211\u5802\u5802\u9808\u7709\uff0c\u8aa0\u4e0d\u82e5\u5f7c\u88d9\u91f5\u54c9\uff1f\u5be6\u6127\u5247\u6709\u4f59\uff0c\u6094\u53c8\u7121\u76ca\u4e4b\u5927\u7121\u53ef\u5982\u4f55\u4e4b\u65e5\u4e5f\uff01\u7576\u6b64\uff0c\u5247\u81ea\u6b32\u5c07\u5df2\u5f80\u6240\u8cf4\u5929\u6069\u7956\u5fb7\uff0c\u9326\u8863\u7d08\u8932\u4e4b\u6642\uff0c\u98eb\u7518\u995c\u80a5\u4e4b\u65e5\uff0c\u80cc\u7236\u5144\u6559\u80b2\u4e4b\u6069\uff0c\u8ca0\u5e2b\u53cb\u898f\u8ac7\u4e4b\u5fb7\uff0c\u4ee5\u81f3\u4eca\u65e5\u4e00\u6280\u7121\u6210\uff0c\u534a\u751f\u6f66\u5012\u4e4b\u7f6a\uff0c\u7de8\u8ff0\u4e00\u96c6\uff0c\u4ee5\u544a\u5929\u4e0b\u4eba\uff1a\u6211\u4e4b\u7f6a\u56fa\u4e0d\u514d\uff0c\u7136\u95a8\u95a3\u4e2d\u672c\u81ea\u6b77\u6b77\u6709\u4eba\uff0c\u4e07\u4e0d\u53ef\u56e0\u6211\u4e4b\u4e0d\u8096\uff0c\u81ea\u8b77\u5df1\u77ed\uff0c\u4e00\u5e76\u4f7f\u5176\u6cef\u6ec5\u4e5f\uff0e\u96d6\u4eca\u65e5\u4e4b\u8305\u693d\u84ec\u7256\uff0c\u74e6\u7076\u7e69\u5e8a\uff0c\u5176\u6668\u5915\u98a8\u9732\uff0c\u968e\u67f3\u5ead\u82b1\uff0c\u4ea6\u672a\u6709\u59a8\u6211\u4e4b\u895f\u6000\u7b46\u58a8\u8005\uff0e\u96d6\u6211\u672a\u5b78\uff0c\u4e0b\u7b46\u7121\u6587\uff0c\u53c8\u4f55\u59a8\u7528\u5047\u8a9e\u6751\u8a00\uff0c\u6577\u6f14\u51fa\u4e00\u6bb5\u6545\u4e8b\u4f86\uff0c\u4ea6\u53ef\u4f7f\u95a8\u95a3\u662d\u50b3\uff0c\u590d\u53ef\u6085\u4e16\u4e4b\u76ee\uff0c\u7834\u4eba\u6101\u60b6\uff0c\u4e0d\u4ea6\u5b9c\u4e4e\uff1f\"\u6545\u66f0\"\u8cc8\u96e8\u6751\"\u4e91\u4e91\uff0e\u6b64\u56de\u4e2d\u51e1\u7528\u201c\u5922\u201d\u7528\u201c\u5e7b\u201d\u7b49\u5b57\uff0c\u662f\u63d0\u9192\u95b1\u8005\u773c\u76ee\uff0c\u4ea6\u662f\u6b64\u66f8\u7acb\u610f\u672c\u65e8\uff0e\u5217\u4f4d\u770b\u5b98\uff1a\u4f60\u9053\u6b64\u66f8\u5f9e\u4f55\u800c\u4f86\uff1f\u8aaa\u8d77\u6839\u7531\u96d6\u8fd1\u8352\u5510\uff0c\u7d30\u6309\u5247\u6df1\u6709\u8da3\u5473\uff0e\u5f85\u5728\u4e0b\u5c07\u6b64\u4f86\u6b77\u6ce8\u660e\uff0c\u65b9\u4f7f\u95b1\u8005\u4e86\u7136\u4e0d\u60d1\uff0e\u539f\u4f86\u5973\u5aa7\u6c0f\u7149\u77f3\u88dc\u5929\u4e4b\u6642\uff0c\u4e8e\u5927\u8352\u5c71\u7121\u7a3d\u5d16\u7df4\u6210\u9ad8\u7d93\u5341\u4e8c\u4e08\uff0c\u65b9\u7d93\u4e8c\u5341'", "As there is no built-in stopwords provided by the Chinese text segmentation module Jieba that I am using for this notebook, I manually maintain a list of stopwords using this site as my main reference and complemented with this source. You must test that it behaves correctly when you execute “Run All” from the “Cell” menu. DRC has 120 chapters in total, which the first 80 chapters were written by the original writer Cao Xueqin based on the story of his family, while the later 40 chapters were said to be written by another author Gao E (\u9ad8\u9d9a). "MA_avg_length_of_sentence = moving_average(avg_length_of_sentence,5)\n". that manipulates language in some interesting way). With the exception of labels used to represent categorical data, we have focused on numerical data. "userDictFile=open(\"DRC/UserDict.txt\",encoding=\"utf8\")\n". freely available e-books. Projects Text Mining Super Bowl 2019 Tweets mds = MDS(dissimilarity=\"precomputed\", random_state=1)\n". " this package any more deeply. Text Mining Hailu Teju January 6, 2018. The problem with this is that in cases where your repository is public, someone might actually find your API key and use it themselves. the values are frequencies of words in the text (if you want to do something "plt.rc('font', family='Arial Unicode MS')\n". You will need these below. "from sklearn.metrics.pairwise import cosine_similarity\n". There are tons of cool options here! documents.append(segString)\n". " GitHub Gist: instantly share code, notes, and snippets. The project will run from mid 2021 until mid 2026. Projects by Topic (with code) 10: IST 736 HW8 – Topic Modeling. labeled 4 is the work by Charles Darwin. ", "DRC is highly praised for its literary achievements that Chinese literature researchers even coined the term Redology (\u7d05\u5b78) to describe the field that is solely devoted to researching DRC. plt.legend(['80', '40'], loc='upper right') \n", "Visualizing Document Distances with Scatterplots". Prosopography; GIS: Mapping and Analyzing; Social Networks; Sources. segList = [seg for seg in segList if seg not in punc]\n". " out (potentially using Python code) when you do your analysis (there is Text mining example in Python. *Evaluation of Stop Word Lists in Chinese Language*. "1 0.698502 0.155126 38.638158 \n". The popularity of text mining today is driven by statistics and the availability of unstructured data. MSDS - Q6: IST736. "for chapter in strings_of_segments_by_chapter:\n". " Humor is great; abusive language or disparaging groups of people is firmly not acceptable. text analysis, a visualization of some kind, or perhaps a computer program LinkedIn, Google Scholar, Github, Zhihu. Therefore, by removing the unneeded spaces and hard returns, we can rejoin the words into one for better segmentation accuracy. You are not required to use any particular Python package to complete this We have put together a notebook that uses this approach to determine whether a sentence, taken completely out of context, comes from Mary Shelley’s Frankenstein or Bram Stoker’s Dracula. To download the text the documentation follow: Use can use your GitHub profile as the website if you wish. a Bayesian classifier (code). In general, there is little consensus on how many chapters DRC originally had. of doing something interesting with it down the line. It is well-known and considered one of the most important masterpieces of Chinese literature. write the “Project Overview” and take a stab at the “Implementation” and “Results”, early in the process. NLTK provides a number of other really cool features. avg_length = accumulator/len(positions)\n", " avg_length_of_sentence.append(avg_length)". "plt.plot(MA_avg_length_of_sentence, 'red')\n". ", "Interestingly, from the scatterplots, it is hard to observe that the first 80 chapters and the last 40 chapters of DRC belong to two different clusters. For more details and practice, check out the Pickling Project Digital Investigation (DIIN), 5(1):S42-S51. Access Token and Access Token Secret too. on this link from the Gutenberg search If you’d like to share what you discovered/created as part of your text mining project, you can add it to a class-wide Google slides presentation. if stopwords == True: # remove stopwords using DRCstopwords\n". " For instance, if you decide that you want to analyze Oliver Twist you would click Write a brief document about what you did (. Download latest collection of data mining projects titles 2011 and 2010 years. ratio_of_unique_terms ratio_of_punctuations avg_length_of_sentence \\\n". # the first paragraph, as a string. Beyond that, we The goal for Part 1 is for you to get some text from the Internet with the aim But in many applications, data starts as text. avg_length_of_sentence \n". " this include: part of speech tagging, and full sentence parsing. The visualization results did not yield much insightful information as the figures vary from one chapter to next. 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hmbBgAdC5c+BPZ6ysdu6cvAFcdllgjxNIcHT8uDxvxYqBPWfAYmOlHOV//3P8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\n", 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"