@article{PAR00030807,
  title = {{T}ext {M}ining from {M}igration {N}arratives},
  author = {{I}ng, {D}. and {D}elorme, {F}. and {J}abbour, {S}. and {R}obin, {N}elly and {S}ais, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he pervasive proliferation of textual information, combined with the swift advancement in data acquisition methods, has resulted in an overwhelming volume of data, making it challenging to uncover relevant patterns. {T}ext mining is a crucial process for extracting noteworthy and non-trivial patterns, as well as valuable knowledge from extensive collections of textual data. {I}n this paper, we present a step towards a text mining approach designed to harness migration narrative texts, those collected from interviews with migrants during their journeys in {E}nglish and {F}rench. {O}ur contributions can be summarized as follows: (1) {W}e first collaborate with experts in {H}umanities and {S}ocial {S}ciences ({HSS}) to annotate the essential domain concepts, their related terms, and the locations mentioned in those narratives. (2) {T}o automatically extract such related terms embedded in the narratives, we propose adapting a set expansion algorithm in a weakly supervised manner using a tiny set of annotated terms. {W}e then evaluate the proposed algorithm by comparing its output terms to those annotated by experts. (3) {W}e utilize some existing frameworks to automatically identify locations crossed by migrants, followed by a disambiguation model to precisely pinpoint them on a map. {T}o evaluate the proposed systems, we conduct the experiments by comparing their recognized locations and disambiguated locations to those annotated by experts. (4) {W}e design a tool to visualize the itineraries of those locations on a map, enabling the observation of migration routes. {O}ur discussions with {HSS} experts reveal that our proposed approach assists their analyses by automatically retrieving pertinent terms and drawing itineraries of migrants on a map, enabling a comprehensive understanding of their construction.},
  keywords = {{T}ext {M}ining ; {H}umanities and {S}ocial {S}ciences ; {M}igration {N}arratives ; {M}igration {R}outes},
  booktitle = {},
  journal = {{L}ecture {N}otes in {C}omputer {S}cience},
  volume = {16020},
  numero = {},
  pages = {273--291},
  ISSN = {2945-9133},
  year = {2026},
  DOI = {10.1007/978-3-662-72243-5_16},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00030807},
}